Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms
暂无分享,去创建一个
[1] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[2] Wray L. Buntine. Theory Refinement on Bayesian Networks , 1991, UAI.
[3] Heinz Mühlenbein,et al. FDA -A Scalable Evolutionary Algorithm for the Optimization of Additively Decomposed Functions , 1999, Evolutionary Computation.
[4] Heinz Mühlenbein,et al. The Equation for Response to Selection and Its Use for Prediction , 1997, Evolutionary Computation.
[5] David Heckerman,et al. Learning Bayesian Networks: Search Methods and Experimental Results , 1995 .
[6] Luis M. de Campos,et al. Approximations of Causal Networks by Polytrees: an Empirical Study , 1994, IPMU.
[7] Ulises Cortés,et al. A parallel algorithm for building possibilistic causal networks , 1998, Int. J. Approx. Reason..
[8] Pedro Larrañaga,et al. Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS , 2001, Artif. Intell. Medicine.
[9] Ethem Alpayddn,et al. Combined 5x2cv F Test for Comparing Supervised Classification Learning Algorithms Combined 5x2cv F Test for Comparing Supervised Classification Learning Algorithms , 1998 .
[10] Max Henrion,et al. Propagating uncertainty in bayesian networks by probabilistic logic sampling , 1986, UAI.
[11] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[12] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[13] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[14] Kwong-Sak Leung,et al. Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[15] P. Larra,et al. Feature Subset Selection by Bayesian Networks Based Optimization Abstract|a New Method for Feature Subset Selection in Machine Learning, Fss-ebna , 1999 .
[16] David E. Goldberg,et al. The compact genetic algorithm , 1999, IEEE Trans. Evol. Comput..
[17] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[18] Gregory M. Provan,et al. Learning Bayesian Networks Using Feature Selection , 1995, AISTATS.
[19] Anil K. Jain,et al. 39 Dimensionality and sample size considerations in pattern recognition practice , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.
[20] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[21] S. Baluja,et al. Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space , 1997 .
[22] Gilbert Syswerda,et al. Uniform Crossover in Genetic Algorithms , 1989, ICGA.
[23] Ron Kohavi,et al. Data Mining Using MLC a Machine Learning Library in C++ , 1996, Int. J. Artif. Intell. Tools.
[24] I Inza,et al. Representing the behaviour of supervised classification learning algorithms by Bayesian networks , 1999, Pattern Recognit. Lett..
[25] D. Goldberg,et al. BOA: the Bayesian optimization algorithm , 1999 .
[26] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[27] Y. Xiang,et al. PARALLEL LEARNING OF BELIEF NETWORKS , 1999 .
[28] A. Dawid. Conditional Independence in Statistical Theory , 1979 .
[29] M. Pelikán,et al. The Bivariate Marginal Distribution Algorithm , 1999 .
[30] Enrique F. Castillo,et al. Expert Systems and Probabilistic Network Models , 1996, Monographs in Computer Science.
[31] Keinosuke Fukunaga,et al. A Branch and Bound Algorithm for Feature Subset Selection , 1977, IEEE Transactions on Computers.
[32] Pedro Larrañaga,et al. Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[33] David B. Fogel,et al. Evolutionary algorithms in theory and practice , 1997, Complex.
[34] Hiroshi Motoda,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.
[35] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[36] BayesiannetworksPedro,et al. Combinatorial optimization by learning and simulation of , 2000 .
[37] Nir Friedman,et al. On the Sample Complexity of Learning Bayesian Networks , 1996, UAI.
[38] Steffen L. Lauritzen,et al. Graphical models in R , 1996 .
[39] Piero P. Bonissone,et al. Hybrid soft computing systems: industrial and commercial applications , 1999, Proc. IEEE.
[40] Bojan Cestnik,et al. Estimating Probabilities: A Crucial Task in Machine Learning , 1990, ECAI.
[41] Mineichi Kudo,et al. Comparison of algorithms that select features for pattern classifiers , 2000, Pattern Recognit..
[42] Dunja Mladenic,et al. Feature Subset Selection in Text-Learning , 1998, ECML.
[43] Kenneth DeJong,et al. Robust feature selection algorithms , 1993, Proceedings of 1993 IEEE Conference on Tools with Al (TAI-93).
[44] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[45] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[46] David W. Aha,et al. Feature Selection for Case-Based Classification of Cloud Types: An Empirical Comparison , 1994 .
[47] Pat Langley,et al. Induction of Selective Bayesian Classifiers , 1994, UAI.
[48] Justin Doak,et al. An evaluation of feature selection methods and their application to computer security , 1992 .
[49] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[50] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[51] Pedro Larrañaga,et al. Learning Bayesian network structures by searching for the best ordering with genetic algorithms , 1996, IEEE Trans. Syst. Man Cybern. Part A.
[52] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .