A Survey on Evolutionary Computation Approaches to Feature Selection
暂无分享,去创建一个
Xin Yao | Mengjie Zhang | Bing Xue | Will N. Browne | X. Yao | Mengjie Zhang | Bing Xue
[1] Thomas Marill,et al. On the effectiveness of receptors in recognition systems , 1963, IEEE Trans. Inf. Theory.
[2] A. Wayne Whitney,et al. A Direct Method of Nonparametric Measurement Selection , 1971, IEEE Transactions on Computers.
[3] R. Boggia,et al. Genetic algorithms as a strategy for feature selection , 1992 .
[4] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.
[5] Jack Sklansky,et al. A note on genetic algorithms for large-scale feature selection , 1989, Pattern Recognition Letters.
[6] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[7] Krzysztof Krawiec,et al. ROUGH SET REDUCTION OF ATTRIBUTES AND THEIR DOMAINS FOR NEURAL NETWORKS , 1995, Comput. Intell..
[8] Abdesselam Bouzerdoum,et al. Automatic selection of features for classification using genetic programming , 1996, 1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96.
[9] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[10] Dorothea Heiss-Czedik,et al. An Introduction to Genetic Algorithms. , 1997, Artificial Life.
[11] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[12] Russell C. Eberhart,et al. A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[13] Pier Luca Lanzi,et al. Fast feature selection with genetic algorithms: a filter approach , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[14] Jihoon Yang,et al. Feature Subset Selection Using a Genetic Algorithm , 1998, IEEE Intell. Syst..
[15] Kenneth DeJong,et al. Feature Space Transformation Using Genetic Algorithms , 1998, IEEE Intell. Syst..
[16] Edoardo Amaldi,et al. On the Approximability of Minimizing Nonzero Variables or Unsatisfied Relations in Linear Systems , 1998, Theor. Comput. Sci..
[17] Mübeccel Demirekler,et al. Feature selection using genetics-based algorithm and its application to speaker identification , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[18] Filippo Menczer,et al. Feature selection in unsupervised learning via evolutionary search , 2000, KDD '00.
[19] Hisao Ishibuchi,et al. Multi-objective pattern and feature selection by a genetic algorithm , 2000, GECCO.
[20] Krzysztof Krawiec,et al. Evolutionary weighting of image features for diagnosing of CNS tumors , 2000, Artif. Intell. Medicine.
[21] C. Emmanouilidis,et al. A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[22] D. Agrafiotis,et al. Feature selection for structure-activity correlation using binary particle swarms. , 2002, Journal of medicinal chemistry.
[23] Bishwajit Chakraborty,et al. Genetic algorithm with fuzzy fitness function for feature selection , 2002, Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on.
[24] Luiz Eduardo Soares de Oliveira,et al. Feature selection using multi-objective genetic algorithms for handwritten digit recognition , 2002, Object recognition supported by user interaction for service robots.
[25] Geoffrey J McLachlan,et al. Selection bias in gene extraction on the basis of microarray gene-expression data , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[26] Hongbin Zhang,et al. Feature selection using tabu search method , 2002, Pattern Recognit..
[27] Paul Scheunders,et al. Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery , 2002, Pattern Recognit. Lett..
[28] Qiang Shen,et al. Finding Rough Set Reducts with Ant Colony Optimization , 2003 .
[29] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[30] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[31] Zheng Rong Yang,et al. Evaluation of Mutual Information and Genetic Programming for Feature Selection in QSAR , 2004, J. Chem. Inf. Model..
[32] Krzysztof Krawiec,et al. Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks , 2002, Genetic Programming and Evolvable Machines.
[33] Zhong Yan,et al. Ant Colony Optimization for Feature Selection in Face Recognition , 2004, ICBA.
[34] Byung Ro Moon,et al. Hybrid Genetic Algorithms for Feature Selection , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[35] Huan Liu,et al. Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..
[36] Ivan Bratko,et al. Testing the significance of attribute interactions , 2004, ICML.
[37] Edward R. Dougherty,et al. Is cross-validation valid for small-sample microarray classification? , 2004, Bioinform..
[38] Larry Bull,et al. Genetic Programming with a Genetic Algorithm for Feature Construction and Selection , 2005, Genetic Programming and Evolvable Machines.
[39] Huan Liu,et al. Toward integrating feature selection algorithms for classification and clustering , 2005, IEEE Transactions on Knowledge and Data Engineering.
[40] Hui-Hua Yang,et al. Ant colony optimization based network intrusion feature selection and detection , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[41] Xin Yao,et al. Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization , 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.
[42] Hong Hu,et al. Using PSO algorithm to evolve an optimum input subset for a SVM in time series forecasting , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.
[43] Hong Hu,et al. Feature selection using the hybrid of ant colony optimization and mutual information for the forecaster , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[44] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Nikhil R. Pal,et al. Genetic programming for simultaneous feature selection and classifier design , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[46] Andreas König,et al. Feature-Level Fusion by Multi-Objective Binary Particle Swarm Based Unbiased Feature Selection for Optimized Sensor System Design , 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.
[47] H. Moghaddam,et al. Feature Subset Selection for Face Detection Using Genetic Algorithms and Particle Swarm Optimization , 2006, 2006 IEEE International Conference on Networking, Sensing and Control.
[48] Richard Jensen,et al. Performing Feature Selection with ACO , 2006, Swarm Intelligence in Data Mining.
[49] Sung-Bae Cho,et al. Efficient huge-scale feature selection with speciated genetic algorithm , 2005 .
[50] K. Umamaheswari,et al. Neuro - Genetic approaches to classification of Face Images with effective feature selection using hybrid classifiers , 2006, 2006 International Conference on Advanced Computing and Communications.
[51] Been-Chian Chien,et al. Features Selection based on Rough Membership and Genetic Programming , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[52] Huan Liu,et al. Feature subset selection bias for classification learning , 2006, ICML.
[53] Luis Javier Rodríguez-Fuentes,et al. Feature Selection Based on Genetic Algorithms for Speaker Recognition , 2006, 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop.
[54] C. A. Coello Coello,et al. Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Computational Intelligence Magazine.
[55] Julie Wilson,et al. Novel feature selection method for genetic programming using metabolomic 1H NMR data , 2006 .
[56] Sreeram Ramakrishnan,et al. A hybrid approach for feature subset selection using neural networks and ant colony optimization , 2007, Expert Syst. Appl..
[57] Enrique Alba,et al. Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[58] Zexuan Zhu,et al. Memetic Algorithms for Feature Selection on Microarray Data , 2007, ISNN.
[59] Zexuan Zhu,et al. Markov blanket-embedded genetic algorithm for gene selection , 2007, Pattern Recognit..
[60] Thomas A. Runkler,et al. Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers , 2007, IFSA.
[61] Sushmita Mitra,et al. Evolutionary Rough Feature Selection in Gene Expression Data , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[62] Xiangyang Wang,et al. Feature selection based on rough sets and particle swarm optimization , 2007, Pattern Recognit. Lett..
[63] Mingyi He,et al. Feature selection using Double Parallel Feedforward Neural Networks and Particle Swarm Optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[64] Xin Yao,et al. How well do multi-objective evolutionary algorithms scale to large problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[65] Xiaoming Xu,et al. A hybrid genetic algorithm for feature selection wrapper based on mutual information , 2007, Pattern Recognit. Lett..
[66] George D. C. Cavalcanti,et al. An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting , 2007, 2007 IEEE Congress on Evolutionary Computation.
[67] B. Chakraborty. Feature subset selection by particle swarm optimization with fuzzy fitness function , 2008, 2008 3rd International Conference on Intelligent System and Knowledge Engineering.
[68] Wei-Pang Yang,et al. Classifier design with feature selection and feature extraction using layered genetic programming , 2008, Expert Syst. Appl..
[69] Zuren Feng,et al. An efficient ant colony optimization approach to attribute reduction in rough set theory , 2008, Pattern Recognit. Lett..
[70] Li-Yeh Chuang,et al. Improved binary PSO for feature selection using gene expression data , 2008, Comput. Biol. Chem..
[71] Seoung Bum Kim,et al. Genetic algorithm-based feature selection in high-resolution NMR spectra , 2008, Expert Syst. Appl..
[72] Weiguo Sheng,et al. A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection , 2008, IEEE Transactions on Knowledge and Data Engineering.
[73] Cheng-Lung Huang,et al. A distributed PSO-SVM hybrid system with feature selection and parameter optimization , 2008, Appl. Soft Comput..
[74] Shih-Wei Lin,et al. Particle swarm optimization for parameter determination and feature selection of support vector machines , 2008, Expert Syst. Appl..
[75] Xindong Wu,et al. Gene expression analyses using Genetic Algorithm based hybrid approaches , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[76] John B. O. Mitchell,et al. Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study of melting point prediction , 2008, Chemistry Central journal.
[77] Liang-Hsuan Chen,et al. Feature selection to diagnose a business crisis by using a real GA-based support vector machine: An empirical study , 2008, Expert Syst. Appl..
[78] He Ming. A Rough Set Based Hybrid Method to Feature Selection , 2008, 2008 International Symposium on Knowledge Acquisition and Modeling.
[79] Li-Yeh Chuang,et al. Feature Selection Using Memetic Algorithms , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.
[80] Kevin P. Rosenblatt,et al. Application of multiple statistical tests to enhance mass spectrometry-based biomarker discovery , 2009, BMC Bioinformatics.
[81] Karim Faez,et al. An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system , 2008, Appl. Math. Comput..
[82] S. Subbotin,et al. The multi objective evolutionary feature selection , 2008, 2008 International Conference on "Modern Problems of Radio Engineering, Telecommunications and Computer Science" (TCSET).
[83] Wei Kong,et al. Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data , 2008, Comput. Biol. Chem..
[84] Ming He,et al. Feature Selection Based on Ant Colony Optimization and Rough Set Theory , 2008, 2008 International Symposium on Computer Science and Computational Technology.
[85] Dinesh Kumar,et al. Memetic Algorithms for Feature Selection in Face Recognition , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.
[86] Yanqing Zhang,et al. A genetic algorithm-based method for feature subset selection , 2008, Soft Comput..
[87] Adel Al-Jumaily,et al. A Combined Ant Colony and Differential Evolution Feature Selection Algorithm , 2008, ANTS Conference.
[88] Mark Johnston,et al. Particle Swarm Optimization based Adaboost for face detection , 2009, 2009 IEEE Congress on Evolutionary Computation.
[89] Thomas A. Runkler,et al. Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers , 2009 .
[90] Shih-Wei Lin,et al. PSOLDA: A particle swarm optimization approach for enhancing classification accuracy rate of linear discriminant analysis , 2009, Appl. Soft Comput..
[91] Mengjie Zhang,et al. Pareto front feature selection: using genetic programming to explore feature space , 2009, GECCO.
[92] Nasser Ghasem-Aghaee,et al. Text feature selection using ant colony optimization , 2009, Expert Syst. Appl..
[93] Jacek M. Zurada,et al. Normalized Mutual Information Feature Selection , 2009, IEEE Transactions on Neural Networks.
[94] Mengjie Zhang,et al. Dimensionality reduction in face detection: A genetic programming approach , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.
[95] Yin-Fu Huang,et al. Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data , 2009, Expert Syst. Appl..
[96] Rabab M. Ramadan,et al. FACE RECOGNITION USING PARTICLE SWARM OPTIMIZATION-BASED SELECTED FEATURES , 2009 .
[97] Shuang Zhou,et al. Feature Selection and Classification Based on Ant Colony Algorithm for Hyperspectral Remote Sensing Images , 2009, 2009 2nd International Congress on Image and Signal Processing.
[98] Günter Rudolph,et al. Design and comparison of different evolution strategies for feature selection and consolidation in music classification , 2009, 2009 IEEE Congress on Evolutionary Computation.
[99] Mengjie Zhang,et al. Genetic Programming for Feature Subset Ranking in Binary Classification Problems , 2009, EuroGP.
[100] Shahid Ali,et al. Feature subset selection using multi-objective genetic algorithms , 2009, 2009 IEEE 13th International Multitopic Conference.
[101] Francisco Herrera,et al. A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection , 2009, HAIS.
[102] Silvia Casado Yusta,et al. Different metaheuristic strategies to solve the feature selection problem , 2009, Pattern Recognit. Lett..
[103] Yongming Li,et al. Research of multi-population agent genetic algorithm for feature selection , 2009, Expert Syst. Appl..
[104] Huan Liu,et al. Manipulating Data and Dimension Reduction Methods: Feature Selection , 2009, Encyclopedia of Complexity and Systems Science.
[105] Mengjie Zhang,et al. Unsupervised Elimination of Redundant Features Using Genetic Programming , 2009, Australasian Conference on Artificial Intelligence.
[106] Jing Zhao,et al. A Modified Ant Colony Optimization Algorithm for Tumor Marker Gene Selection , 2009, Genom. Proteom. Bioinform..
[107] Oguz Findik,et al. A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine , 2010, Expert Syst. Appl..
[108] M. Tahar Kechadi,et al. Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications , 2010, Expert Syst. Appl..
[109] Kourosh Neshatian,et al. Feature Manipulation with Genetic Programming , 2010 .
[110] Huan Liu,et al. Feature Selection: An Ever Evolving Frontier in Data Mining , 2010, FSDM.
[111] Thomas A. Runkler,et al. Two cooperative ant colonies for feature selection using fuzzy models , 2010, Expert Syst. Appl..
[112] Zongben Xu,et al. A multiobjective ACO algorithm for rough feature selection , 2010, 2010 Second Pacific-Asia Conference on Circuits, Communications and System.
[113] Sushmita Mitra,et al. Evolutionary-Rough Feature Selection for Face Recognition , 2010, Trans. Rough Sets.
[114] Y.-C. Lee,et al. Feature selection and classification by using grid computing based evolutionary approach for the microarray data , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[115] Wei-Chang Yeh,et al. Feature selection with Intelligent Dynamic Swarm and Rough Set , 2010, Expert Syst. Appl..
[116] Aruna Tiwari,et al. Construction of classifier with feature selection based on genetic programming , 2010, IEEE Congress on Evolutionary Computation.
[117] Liu Bo,et al. Shape feature selection and weed recognition based on image processing and ant colony optimization. , 2010 .
[118] Alper Ekrem Murat,et al. A discrete particle swarm optimization method for feature selection in binary classification problems , 2010, Eur. J. Oper. Res..
[119] Leslie S. Smith,et al. Feature subset selection in large dimensionality domains , 2010, Pattern Recognit..
[120] N. Ramaraj,et al. A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm , 2010, Knowl. Based Syst..
[121] Duoqian Miao,et al. A rough set approach to feature selection based on ant colony optimization , 2010, Pattern Recognit. Lett..
[122] Yahya Slimani,et al. Adaptive Particle Swarm Optimizer for Feature Selection , 2010, IDEAL.
[123] Zhen Ji,et al. Towards a Memetic Feature Selection Paradigm [Application Notes] , 2010, IEEE Computational Intelligence Magazine.
[124] Yahya Slimani,et al. Memetic Feature Selection: Benchmarking Hybridization Schemata , 2010, HAIS.
[125] Anne M. P. Canuto,et al. A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers , 2010, IEEE Congress on Evolutionary Computation.
[126] Xiaobo Liu,et al. Differential Evolution Based Band Selection in Hyperspectral Data Classification , 2010, ISICA.
[127] Yafei Zhang,et al. Dynamic Adaboost learning with feature selection based on parallel genetic algorithm for image annotation , 2010, Knowl. Based Syst..
[128] Krzysztof Krawiec. Evolutionary Feature Selection and Construction , 2010, Encyclopedia of Machine Learning.
[129] N. Pal,et al. Evolutionary methods for unsupervised feature selection using Sammon’s stress function , 2010 .
[130] Rui Araújo,et al. Co-evolutionary genetic Multilayer Perceptron for feature selection and model design , 2011, ETFA2011.
[131] Witold Pedrycz,et al. Feature and instance selection via cooperative PSO , 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.
[132] K. Manimala,et al. Hybrid soft computing techniques for feature selection and parameter optimization in power quality data mining , 2011, Appl. Soft Comput..
[133] Ana Carolina Lorena,et al. Multi-objective Genetic Algorithm Evaluation in Feature Selection , 2011, EMO.
[134] Mengjie Zhang,et al. Using genetic programming for context-sensitive feature scoring in classification problems , 2011, Connect. Sci..
[135] Adel Al-Jumaily,et al. Feature subset selection using differential evolution and a statistical repair mechanism , 2011, Expert Syst. Appl..
[136] Adel M. Alimi,et al. Distributed MOPSO with a new population subdivision technique for the feature selection , 2011, 2011 5th International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII).
[137] Hua Xu,et al. A cooperative coevolution-based pittsburgh learning classifier system embedded with memetic feature selection , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[138] Mohd Saberi Mohamad,et al. A Modified Binary Particle Swarm Optimization for Selecting the Small Subset of Informative Genes From Gene Expression Data , 2011, IEEE Transactions on Information Technology in Biomedicine.
[139] Witold Jacak,et al. Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system , 2011, GECCO.
[140] Abdul Rahman Ramli,et al. Feature selection for high dimensional data: An evolutionary filter approach. , 2011 .
[141] Xin Yao,et al. Scalability of generalized adaptive differential evolution for large-scale continuous optimization , 2010, Soft Comput..
[142] Agma J. M. Traina,et al. Improving the ranking quality of medical image retrieval using a genetic feature selection method , 2011, Decis. Support Syst..
[143] Ratna Babu Chinnam,et al. mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification , 2011, Inf. Sci..
[144] Mengjie Zhang,et al. Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[145] Li-Yeh Chuang,et al. Improved binary particle swarm optimization using catfish effect for feature selection , 2011, Expert Syst. Appl..
[146] Shih-Wei Lin,et al. Parameter tuning, feature selection and weight assignment of features for case-based reasoning by artificial immune system , 2011, Appl. Soft Comput..
[147] João Miguel da Costa Sousa,et al. Metaheuristics for feature selection: Application to sepsis outcome prediction , 2012, 2012 IEEE Congress on Evolutionary Computation.
[148] K. Manikantan,et al. Optimal Feature Selection based on Image Pre-processing using Accelerated Binary Particle Swarm Optimization for Enhanced Face Recognition , 2012 .
[149] Anne M. P. Canuto,et al. A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[150] Sébastien Paris,et al. Application of global optimization methods to model and feature selection , 2012, Pattern Recognit..
[151] Mengjie Zhang,et al. Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection , 2012, ACSC.
[152] Kun-Huang Chen,et al. An improved particle swarm optimization for feature selection , 2011, Intell. Data Anal..
[153] Mengjie Zhang,et al. Multi-objective particle swarm optimisation (PSO) for feature selection , 2012, GECCO '12.
[154] Marcos André Gonçalves,et al. Aggressive and effective feature selection using genetic programming , 2012, 2012 IEEE Congress on Evolutionary Computation.
[155] Yaochu Jin,et al. Evolutionary multi-objective optimization of trace transform for invariant feature extraction , 2012, 2012 IEEE Congress on Evolutionary Computation.
[156] Günter Rudolph,et al. Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures , 2012, Soft Comput..
[157] Mengjie Zhang,et al. A Genetic Programming Approach to Hyper-Heuristic Feature Selection , 2012, SEAL.
[158] Zulaiha Ali Othman,et al. Bees algorithm for feature selection in network anomaly detection , 2012 .
[159] C. C. O. Ramos,et al. New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection , 2012, IEEE Transactions on Power Delivery.
[160] Mengjie Zhang,et al. Genetic Programming for Biomarker Detection in Mass Spectrometry Data , 2012, Australasian Conference on Artificial Intelligence.
[161] Kazuyuki Murase,et al. A new hybrid ant colony optimization algorithm for feature selection , 2012, Expert Syst. Appl..
[162] Shunmugapriya Palanisamy. Artificial Bee Colony Approach for Optimizing Feature Selection , 2012 .
[163] Cong Jin,et al. Attribute selection method based on a hybrid BPNN and PSO algorithms , 2012, Appl. Soft Comput..
[164] Barnali Sahu,et al. A Novel Feature Selection Algorithm using Particle Swarm Optimization for Cancer Microarray Data , 2012 .
[165] Hong-Bo Xie,et al. Ant colony optimization-based feature selection method for surface electromyography signals classification , 2012, Comput. Biol. Medicine.
[166] Mengjie Zhang,et al. Binary particle swarm optimisation for feature selection: A filter based approach , 2012, 2012 IEEE Congress on Evolutionary Computation.
[167] Mengjie Zhang,et al. A multi-objective particle swarm optimisation for filter-based feature selection in classification problems , 2012, Connect. Sci..
[168] Mengjie Zhang,et al. New fitness functions in binary particle swarm optimisation for feature selection , 2012, 2012 IEEE Congress on Evolutionary Computation.
[169] Ivor W. Tsang,et al. Discovering Support and Affiliated Features from Very High Dimensions , 2012, ICML.
[170] Mengjie Zhang,et al. A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory , 2012, Australasian Conference on Artificial Intelligence.
[171] S Kanmani,et al. Artificial Bee Colony Approach for Approach for Approach for Approach for Optimizing Feature Selection , 2012 .
[172] Mengjie Zhang,et al. Improving Relevance Measures Using Genetic Programming , 2012, EuroGP.
[173] S. I. Ali,et al. A feature subset selection method based on symmetric uncertainty and Ant Colony Optimization , 2012, 2012 International Conference on Emerging Technologies.
[174] U. Maulik,et al. An SVM-Wrapped Multiobjective Evolutionary Feature Selection Approach for Identifying Cancer-MicroRNA Markers , 2013, IEEE Transactions on NanoBioscience.
[175] Vaidyanathan K. Jayaraman,et al. Hybrid feature selection and peptide binding affinity prediction using an EDA based algorithm , 2013, 2013 IEEE Congress on Evolutionary Computation.
[176] João Miguel da Costa Sousa,et al. Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients , 2013, Appl. Soft Comput..
[177] Peter Tiño,et al. Scaling Up Estimation of Distribution Algorithms for Continuous Optimization , 2011, IEEE Transactions on Evolutionary Computation.
[178] Mengjie Zhang,et al. Enhanced feature selection for biomarker discovery in LC-MS data using GP , 2013, 2013 IEEE Congress on Evolutionary Computation.
[179] M. Kirley,et al. Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data. , 2013, The Australasian medical journal.
[180] Mengjie Zhang,et al. Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach , 2013, EvoBIO.
[181] Ivor W. Tsang,et al. Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[182] Amit Konar,et al. Feature selection by Differential Evolution algorithm - A case study in personnel identification , 2013, 2013 IEEE Congress on Evolutionary Computation.
[183] Jacob Scharcanski,et al. Feature selection for face recognition based on multi-objective evolutionary wrappers , 2013, Expert Syst. Appl..
[184] Hossein Nezamabadi-pour,et al. A new feature selection algorithm based on binary ant colony optimization , 2013, The 5th Conference on Information and Knowledge Technology.
[185] Bernhard Sendhoff,et al. Evolution by Adapting Surrogates , 2013, Evolutionary Computation.
[186] Mengjie Zhang,et al. Particle Swarm Optimisation and Statistical Clustering for Feature Selection , 2013, Australasian Conference on Artificial Intelligence.
[187] Mengjie Zhang,et al. Binary particle swarm optimisation and rough set theory for dimension reduction in classification , 2013, 2013 IEEE Congress on Evolutionary Computation.
[188] Alexandros André Chaaraoui,et al. Human action recognition optimization based on evolutionary feature subset selection , 2013, GECCO '13.
[189] Huan Liu,et al. CoSelect: Feature Selection with Instance Selection for Social Media Data , 2013, SDM.
[190] Rami N. Khushaba,et al. Feature subset selection using differential evolution and a wheel based search strategy , 2013, Swarm Evol. Comput..
[191] Mengjie Zhang,et al. Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification , 2013, EvoApplications.
[192] Ivor W. Tsang,et al. A Feature Selection Method for Multivariate Performance Measures , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[193] Ashish Ghosh,et al. Self-adaptive differential evolution for feature selection in hyperspectral image data , 2013, Appl. Soft Comput..
[194] Mengjie Zhang,et al. Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach , 2013, IEEE Transactions on Cybernetics.
[195] Mengjie Zhang,et al. Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification , 2013, Int. J. Artif. Intell. Tools.
[196] Vahid Chahkandi,et al. Feature Selection with Chaotic Hybrid Artificial Bee Colony Algorithm based on Fuzzy (CHABCF) , 2013 .
[197] Mengjie Zhang,et al. A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory , 2013, EvoCOP.
[198] Yixin Chen,et al. Efficient ant colony optimization for image feature selection , 2013, Signal Process..
[199] Beatriz de la Iglesia,et al. Evolutionary computation for feature selection in classification problems , 2013, WIREs Data Mining Knowl. Discov..
[200] Basabi Chakraborty,et al. Fuzzy Consistency Measure with Particle Swarm Optimization for Feature Selection , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.
[201] Pedro Sousa,et al. Email Spam Detection: a Symbiotic Feature Selection Approach Fostered by Evolutionary Computation , 2013, Int. J. Inf. Technol. Decis. Mak..
[202] Hélio Pedrini,et al. Data feature selection based on Artificial Bee Colony algorithm , 2013, EURASIP J. Image Video Process..
[203] Pablo A. Estévez,et al. A review of feature selection methods based on mutual information , 2015, Neural Computing and Applications.
[204] Antonio Martínez-Álvarez,et al. Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps , 2014, Knowl. Based Syst..
[205] Antonio J. Tallón-Ballesteros,et al. Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures , 2014, IDEAL.
[206] K. De Jong,et al. Effective Automated Feature Construction and Selection for Classification of Biological Sequences , 2014, PloS one.
[207] Jae-Hyun Seo,et al. Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation , 2014 .
[208] Qinghua Hu,et al. Feature selection with test cost constraint , 2012, ArXiv.
[209] Xiaoyan Xiong,et al. Feature subset selection by gravitational search algorithm optimization , 2014, Inf. Sci..
[210] Anirban Mukhopadhyay,et al. A Graph-Theoretic Approach for Identifying Non-Redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO , 2014, PloS one.
[211] Mengjie Zhang,et al. Prediction of detectable peptides in MS data using genetic programming , 2014, GECCO.
[212] Mengjie Zhang,et al. Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection , 2014, EvoCOP.
[213] Ivor W. Tsang,et al. The Emerging "Big Dimensionality" , 2014, IEEE Computational Intelligence Magazine.
[214] Mengjie Zhang,et al. Multi-objective Feature Selection in Classification: A Differential Evolution Approach , 2014, SEAL.
[215] Mark Johnston,et al. Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances , 2014, SEAL.
[216] Mengjie Zhang,et al. Improved PSO for Feature Selection on High-Dimensional Datasets , 2014, SEAL.
[217] Chee Peng Lim,et al. A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models , 2014, Neurocomputing.
[218] Mengjie Zhang,et al. Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features , 2014, GECCO.
[219] Mark Johnston,et al. Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming , 2014, IEEE Transactions on Evolutionary Computation.
[220] Xiaoyan Sun,et al. Multi-objective PSO Algorithm for Feature Selection Problems with Unreliable Data , 2014, ICSI.
[221] Deron Liang,et al. Novel feature selection methods to financial distress prediction , 2014, Expert Syst. Appl..
[222] Mengjie Zhang,et al. Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming , 2014, Connect. Sci..
[223] Zhigang Shang,et al. Feature Selection based on manifold-learning with dynamic constraint handling differential evolution , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[224] Mengjie Zhang,et al. Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach , 2014, Int. J. Comput. Intell. Appl..
[225] Mengjie Zhang,et al. PSO and Statistical Clustering for Feature Selection: A New Representation , 2014, SEAL.
[226] Xiaodong Li,et al. Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization , 2014, IEEE Transactions on Evolutionary Computation.
[227] Panos M. Pardalos,et al. Feature selection based on meta-heuristics for biomedicine , 2014, Optim. Methods Softw..
[228] Mengjie Zhang,et al. Salient object detection using learning classifiersystems that compute action mappings , 2014, GECCO.
[229] Jian Zhuang,et al. Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis , 2014, Neurocomputing.
[230] Mengjie Zhang,et al. Filter based backward elimination in wrapper based PSO for feature selection in classification , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[231] Daoliang Li,et al. Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton , 2014, Appl. Soft Comput..
[232] Mengjie Zhang,et al. Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms , 2014, Appl. Soft Comput..
[233] P. Subashini,et al. Optimal Feature Subset Selection Using Differential Evolution and Extreme Learning Machine , 2014 .
[234] Kun-Huang Chen,et al. An improved artificial immune recognition system with the opposite sign test for feature selection , 2014, Knowl. Based Syst..
[235] Stjepan Oreski,et al. Genetic algorithm-based heuristic for feature selection in credit risk assessment , 2014, Expert Syst. Appl..
[236] Manuel Graña,et al. Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI , 2014, Neurocomputing.
[237] Zhiyong Zeng,et al. Feature Selection Based on Dependency Margin , 2015, IEEE Transactions on Cybernetics.
[238] Witold Pedrycz,et al. Subspace learning for unsupervised feature selection via matrix factorization , 2015, Pattern Recognit..
[239] Hossein Nezamabadi-pour,et al. An advanced ACO algorithm for feature subset selection , 2015, Neurocomputing.
[240] Yaochu Jin,et al. Evolutionary Multiobjective Image Feature Extraction in the Presence of Noise , 2015, IEEE Transactions on Cybernetics.
[241] Mengjie Zhang,et al. Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection , 2015, EvoApplications.
[242] Mengjie Zhang,et al. A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[243] Mengjie Zhang,et al. A binary ABC algorithm based on advanced similarity scheme for feature selection , 2015, Appl. Soft Comput..
[244] Michael D. Todd,et al. Automated Feature Design for Numeric Sequence Classification by Genetic Programming , 2015, IEEE Transactions on Evolutionary Computation.
[245] Myong Kee Jeong,et al. An evolutionary algorithm with the partial sequential forward floating search mutation for large-scale feature selection problems , 2015, J. Oper. Res. Soc..
[246] Dun-Wei Gong,et al. Feature selection algorithm based on bare bones particle swarm optimization , 2015, Neurocomputing.
[247] Deron Liang,et al. The effect of feature selection on financial distress prediction , 2015, Knowl. Based Syst..
[248] Magdalene Marinaki,et al. A bumble bees mating optimization algorithm for the feature selection problem , 2016, Int. J. Mach. Learn. Cybern..
[249] M. Kubát. An Introduction to Machine Learning , 2017, Springer International Publishing.