A new hybrid ant colony optimization algorithm for feature selection
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[1] Paul E. Utgoff,et al. Randomized Variable Elimination , 2002, J. Mach. Learn. Res..
[2] Luca Maria Gambardella,et al. Ant Algorithms for Discrete Optimization , 1999, Artificial Life.
[3] Rolly Intan,et al. Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules , 2009, ICONIP.
[4] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[5] Sung-Bae Cho,et al. Prediction of colon cancer using an evolutionary neural network , 2004, Neurocomputing.
[6] U. Alon,et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[7] Juha Reunanen,et al. Overfitting in Making Comparisons Between Variable Selection Methods , 2003, J. Mach. Learn. Res..
[8] Huan Liu,et al. Toward integrating feature selection algorithms for classification and clustering , 2005, IEEE Transactions on Knowledge and Data Engineering.
[9] James L. McClelland. Parallel Distributed Processing , 2005 .
[10] Lutz Prechelt,et al. PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms , 1994 .
[11] Nanda Kambhatla,et al. Dimension Reduction by Local Principal Component Analysis , 1997, Neural Computation.
[12] Fraser,et al. Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.
[13] J. K. Bertrand,et al. The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification. , 2007, Mathematical medicine and biology : a journal of the IMA.
[14] Antanas Verikas,et al. Feature selection with neural networks , 2002, Pattern Recognit. Lett..
[15] Sreeram Ramakrishnan,et al. A hybrid approach for feature subset selection using neural networks and ant colony optimization , 2007, Expert Syst. Appl..
[16] Xiaoming Xu,et al. A hybrid genetic algorithm for feature selection wrapper based on mutual information , 2007, Pattern Recognit. Lett..
[17] Xin Yao,et al. A new evolutionary system for evolving artificial neural networks , 1997, IEEE Trans. Neural Networks.
[18] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[19] Eduardo Gasca,et al. Eliminating redundancy and irrelevance using a new MLP-based feature selection method , 2006, Pattern Recognit..
[20] Jihoon Yang,et al. Feature Subset Selection Using a Genetic Algorithm , 1998, IEEE Intell. Syst..
[21] Chun-Nan Hsu,et al. The ANNIGMA-wrapper approach to fast feature selection for neural nets , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[22] Feng Chu,et al. A General Wrapper Approach to Selection of Class-Dependent Features , 2008, IEEE Transactions on Neural Networks.
[23] Deniz Erdogmus,et al. Feature selection in MLPs and SVMs based on maximum output information , 2004, IEEE Transactions on Neural Networks.
[24] Xiangyang Wang,et al. Feature selection based on rough sets and particle swarm optimization , 2007, Pattern Recognit. Lett..
[25] Mark A. Hall,et al. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.
[26] Adel Al-Jumaily,et al. Enhanced feature selection algorithm using Ant Colony Optimization and fuzzy memberships , 2008 .
[27] 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).
[28] Tommy W. S. Chow,et al. Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information , 2005, IEEE Transactions on Neural Networks.
[29] Thomas Stützle,et al. Ant Colony Optimization Theory , 2004 .
[30] Kezhi Mao,et al. Fast orthogonal forward selection algorithm for feature subset selection , 2002, IEEE Trans. Neural Networks.
[31] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[32] Mikko Lehtokangas,et al. Modified cascade-correlation learning for classification , 2000, IEEE Trans. Neural Networks Learn. Syst..
[33] Lutz Prechelt,et al. A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice , 1996, Neural Networks.
[34] Nasser Ghasem-Aghaee,et al. Text feature selection using ant colony optimization , 2009, Expert Syst. Appl..
[35] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[36] Zuren Feng,et al. An efficient ant colony optimization approach to attribute reduction in rough set theory , 2008, Pattern Recognit. Lett..
[37] Rich Caruana,et al. Benefitting from the Variables that Variable Selection Discards , 2003, J. Mach. Learn. Res..
[38] Huan Liu,et al. Neural-network feature selector , 1997, IEEE Trans. Neural Networks.
[39] Tomaso A. Poggio,et al. Regularization Theory and Neural Networks Architectures , 1995, Neural Computation.
[40] Marcel J. T. Reinders,et al. Random subspace method for multivariate feature selection , 2006, Pattern Recognit. Lett..
[41] Nikhil R. Pal,et al. A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification , 2004, IEEE Transactions on Neural Networks.
[42] Thomas P. Trappenberg,et al. Selecting inputs for modeling using normalized higher order statistics and independent component analysis , 2001, IEEE Trans. Neural Networks.
[43] Rich Caruana,et al. Greedy Attribute Selection , 1994, ICML.
[44] Kazuyuki Murase,et al. An Efficient Feature Selection Using Ant Colony Optimization Algorithm , 2009, ICONIP.
[45] Francesco Masulli,et al. Supervised Classification and Gene Selection Using Simulated Annealing , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[46] Alain Rakotomamonjy,et al. Variable Selection Using SVM-based Criteria , 2003, J. Mach. Learn. Res..
[47] D. J. Newman,et al. UCI Repository of Machine Learning Database , 1998 .
[48] Ahmed Al-Ani,et al. Feature Subset Selection Using Ant Colony Optimization , 2008 .
[49] Kazuyuki Murase,et al. A new wrapper feature selection approach using neural network , 2010, Neurocomputing.
[50] Mineichi Kudo,et al. Comparison of algorithms that select features for pattern classifiers , 2000, Pattern Recognit..
[51] Byung Ro Moon,et al. Hybrid Genetic Algorithms for Feature Selection , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[52] Shigeo Abe,et al. Modified backward feature selection by cross validation , 2005, ESANN.
[53] Jun Liu,et al. An Incremental Approach to Contribution-Based Feature Selection , 2004 .
[54] Karim Faez,et al. Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System , 2007, ICDM.
[55] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[56] Russell Reed,et al. Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.
[57] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[58] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[59] Lutz Prechelt,et al. Some notes on neural learning algorithm benchmarking , 1995, Neurocomputing.
[60] James T. Kwok,et al. Constructive algorithms for structure learning in feedforward neural networks for regression problems , 1997, IEEE Trans. Neural Networks.
[61] Richard Jensen,et al. Combining rough and fuzzy sets for feature selection , 2004 .