Combined feature selection and similarity modelling in case-based reasoning using hierarchical memetic algorithm
暂无分享,去创建一个
Peter Funk | Ning Xiong | N. Xiong | P. Funk
[1] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[2] Tapio Elomaa,et al. General and Efficient Multisplitting of Numerical Attributes , 1999, Machine Learning.
[3] David L. Waltz,et al. Trading MIPS and memory for knowledge engineering , 1992, CACM.
[4] Ingoo Han,et al. Global optimization of feature weights and the number of neighbors that combine in a case‐based reasoning system , 2006, Expert Syst. J. Knowl. Eng..
[5] Shinn-Jang Ho,et al. Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space , 2004, IEEE Trans. Syst. Man Cybern. Part B.
[6] Yi-Chung Hu,et al. Finding useful fuzzy concepts for pattern classification using genetic algorithm , 2005, Inf. Sci..
[7] Padraig Cunningham,et al. Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control , 1997, ICCBR.
[8] Nick Cercone,et al. Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous , 1999, IEEE Trans. Knowl. Data Eng..
[9] Andy J. Keane,et al. Meta-Lamarckian learning in memetic algorithms , 2004, IEEE Transactions on Evolutionary Computation.
[10] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[12] Ron Kohavi,et al. The Utility of Feature Weighting in Nearest-Neighbor Algorithms , 1997 .
[13] Hisao Ishibuchi,et al. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning , 2007, Int. J. Approx. Reason..
[14] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[15] Peter Funk,et al. Building similarity metrics reflecting utility in case-based reasoning , 2006, J. Intell. Fuzzy Syst..
[16] Agnar Aamodt,et al. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..
[17] Huan Liu,et al. Consistency-based search in feature selection , 2003, Artif. Intell..
[18] James Smith,et al. A tutorial for competent memetic algorithms: model, taxonomy, and design issues , 2005, IEEE Transactions on Evolutionary Computation.
[19] Karl Branting,et al. Acquiring Customer Preferences from Return-Set Selections , 2001, ICCBR.
[20] Zhang Lei,et al. Designing of classifiers based on immune principles and fuzzy rules , 2008, Inf. Sci..
[21] Harro Kiendl,et al. Finding Relevant Process Characteristics with a Method for Data-Based Complexity Reduction , 1999, Fuzzy Days.
[22] D. Dubois,et al. Fuzzy set modelling in case‐based reasoning , 1998 .
[23] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[24] David W. Aha,et al. Weighting Features , 1995, ICCBR.
[25] Michael M. Richter,et al. The Knowledge Contained in Similarity Measures , 1995 .
[26] R Kahavi,et al. Wrapper for feature subset selection , 1997 .
[27] Chun-Nan Hsu,et al. The ANNIGMA-wrapper approach to fast feature selection for neural nets , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[28] Francesco Ricci,et al. Learning a Local Similarity Metric for Case-Based Reasoning , 1995, ICCBR.
[29] Susan Craw,et al. Genetic Algorithms to Optimise CBR Retrieval , 2000, EWCBR.
[30] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[31] Andrew A. Goldenberg,et al. Development of a systematic methodology of fuzzy logic modeling , 1998, IEEE Trans. Fuzzy Syst..
[32] Padraig Cunningham,et al. Improving Recommendation Ranking by Learning Personal Feature Weights , 2004, ECCBR.
[33] Kezhi Mao,et al. Feature subset selection for support vector machines through discriminative function pruning analysis , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).