Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization
暂无分享,去创建一个
Kalyan Veeramachaneni | Una-May O'Reilly | Ekaterina Vladislavleva | Una-May O’Reilly | K. Veeramachaneni | E. Vladislavleva
[1] Terence Soule,et al. Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation) , 2008 .
[2] Anders Krogh,et al. Neural Network Ensembles, Cross Validation, and Active Learning , 1994, NIPS.
[3] John Shawe-Taylor,et al. A Framework for Probability Density Estimation , 2007, AISTATS.
[4] Xin Yao,et al. Boosting Kernel Models for Regression , 2006, Sixth International Conference on Data Mining (ICDM'06).
[5] Hod Lipson,et al. Coevolution of Fitness Predictors , 2008, IEEE Transactions on Evolutionary Computation.
[6] Ioannis Kontoyiannis,et al. Estimating the entropy of discrete distributions , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).
[7] Jacques-André Landry,et al. Discriminant feature selection by genetic programming : towards a domain independent multi-class object detection system , 2004 .
[8] Charles L. Mitchell. Networking Technologies and the Rate of Technological Change , 2005 .
[9] Maarten Keijzer,et al. Improving Symbolic Regression with Interval Arithmetic and Linear Scaling , 2003, EuroGP.
[10] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1995, COLT '90.
[11] Arthur K. Kordon,et al. Variable Selection in Industrial Datasets Using Pareto Genetic Programming , 2006 .
[12] Howard R. Moskowitz,et al. VARIABILITY IN HEDONICS: INDICATIONS OF WORLD‐WIDE SENSORY AND COGNITIVE PREFERENCE SEGMENTATION , 2000 .
[13] Frank D. Francone,et al. Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming , 2006 .
[14] Xin Yao,et al. Learning and Evolution by Minimization of Mutual Information , 2002, PPSN.
[15] Vladimir Vapnik,et al. Multivariate Density Estimation: a Support Vector Machine Approach , 1999 .
[16] Oleksandr Makeyev,et al. Neural network with ensembles , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[17] Michael F. Korns. Large-Scale, Time-Constrained Symbolic Regression , 2007 .
[18] E. Vladislavleva. Model-based problem solving through symbolic regression via pareto genetic programming , 2008 .
[19] H. Iba. Bagging, Boosting, and bloating in Genetic Programming , 1999 .
[20] Kalyan Veeramachaneni,et al. Knowledge mining with genetic programming methods for variable selection in flavor design , 2010, GECCO '10.
[21] Xin Yao,et al. Evolutionary ensembles with negative correlation learning , 2000, IEEE Trans. Evol. Comput..
[22] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[23] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[24] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[25] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[26] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[27] Riccardo Poli,et al. Genetic Programming for Feature Detection and Image Segmentation , 1996, Evolutionary Computing, AISB Workshop.
[28] Debashis Ghosh,et al. Feature selection and molecular classification of cancer using genetic programming. , 2007, Neoplasia.
[29] Giandomenico Spezzano,et al. GP ensembles for large-scale data classification , 2006, IEEE Transactions on Evolutionary Computation.
[30] Mark Johnston,et al. Feature Construction and Dimension Reduction Using Genetic Programming , 2007, Australian Conference on Artificial Intelligence.
[31] Thomas G. Dietterich,et al. In Advances in Neural Information Processing Systems 12 , 1991, NIPS 1991.
[32] Maarten Keijzer,et al. Scaled Symbolic Regression , 2004, Genetic Programming and Evolvable Machines.
[33] Cyril Fonlupt,et al. Applying Boosting Techniques to Genetic Programming , 2001, Artificial Evolution.
[34] H. Sebastian Seung,et al. Information, Prediction, and Query by Committee , 1992, NIPS.
[35] Kalyan Veeramachaneni,et al. Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data , 2010, EuroGP.
[36] Una-May O'Reilly,et al. Genetic Programming Theory and Practice II , 2005 .
[37] Kalyan Veeramachaneni,et al. Evolutionary optimization of flavors , 2010, GECCO '10.
[38] Mark Kotanchek,et al. Pareto-Front Exploitation in Symbolic Regression , 2005 .
[39] Xiaodong Li,et al. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization , 2003, GECCO.