Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods
暂无分享,去创建一个
[1] Nicolas Jouandeau,et al. Parallel Nested Monte-Carlo search , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.
[2] D. Haussler,et al. Boolean Feature Discovery in Empirical Learning , 1990, Machine Learning.
[3] Pieter Spronck,et al. Monte-Carlo Tree Search: A New Framework for Game AI , 2008, AIIDE.
[4] Krzysztof Krawiec,et al. Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks , 2002, Genetic Programming and Evolvable Machines.
[5] François Pachet,et al. Analytical Features: A Knowledge-Based Approach to Audio Feature Generation , 2009, EURASIP J. Audio Speech Music. Process..
[6] Francisco Herrera,et al. A Survey on the Application of Genetic Programming to Classification , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[7] A. Ng. Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.
[8] Tristan Cazenave,et al. Nested Monte-Carlo Search , 2009, IJCAI.
[9] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[10] Pierre Geurts,et al. Extremely randomized trees , 2006, Machine Learning.
[11] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[12] Asoke K. Nandi,et al. Feature generation using genetic programming with application to fault classification , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[13] Erik D. Goodman,et al. Genetic programming for improved data mining: application to the biochemistry of protein interactions , 1996 .
[14] Balázs Kégl,et al. Boosting products of base classifiers , 2009, ICML '09.
[15] Simon Kasif,et al. A System for Induction of Oblique Decision Trees , 1994, J. Artif. Intell. Res..
[16] Larry A. Rendell,et al. A Scheme for Feature Construction and a Comparison of Empirical Methods , 1991, IJCAI.
[17] Shaul Markovitch,et al. Feature Generation Using General Constructor Functions , 2002, Machine Learning.
[18] Larry Bull,et al. Genetic Programming with a Genetic Algorithm for Feature Construction and Selection , 2005, Genetic Programming and Evolvable Machines.
[19] Manfred Jaeger,et al. Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007) , 2007, ICML 2007.
[20] Andrew McCallum,et al. Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data , 2004, J. Mach. Learn. Res..
[21] Rich Caruana,et al. An empirical comparison of supervised learning algorithms , 2006, ICML.
[22] Anikó Ekárt,et al. Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms , 2003, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.