Computational Methods of Feature Selection

摘要: PREFACE Introduction and Background Less Is More Huan Liu Hiroshi Motoda Basics Supervised, Unsupervised, Semi-Supervised Feature Selection Key Contributions Organization of the Book Looking Ahead Unsupervised Jennifer G. Dy Clustering for Unlabeled Data Local Approaches Summary Randomized David J. Stracuzzi Types Randomizations Complexity Classes Applying Randomization to The Role Heuristics Examples Algorithms Issues in Causal Isabelle Guyon, Constantin Aliferis, Andre Elisseeff Classical "Non-Causal" Concept Causality Relevance Bayesian Networks Discovery Applications Summary, Conclusions, Open Problems Extending Active Learning Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani Sampling Estimation Derivation Benefit Function Implementation Algorithm Experiments Conclusions Future Work A Study Extraction Techniques Based on Decision Border Estimate Claudia Diamantini Domenico Potena Boundary Generalities about Labeled Vector Quantizers Ensemble-Based Variable Using Independent Probes Eugene Tuv, Alexander Borisov, Kari Torkkola Tree Ensemble Methods Ranking Algorithm: against Discussion Efficient Incremental-Ranked Massive Roberto Ruiz, Jesus S. Aguilar-Ruiz, Jose C. Riquelme Related Preliminary Concepts Incremental Performance over Experimental Results Weighting Non-Myopic Quality Evaluation with (R)ReliefF Igor Kononenko Marko Robnik Sikonja From Impurity Relief ReliefF Classification RReliefF Regression Extensions Interpretation Conclusion Method k-Means Joshua Zhexue Huang, Jun Xu, Michael Ng, Yunming Ye W-k-Means Subspace Text Discussions Carlotta Domeniconi Dimitrios Gunopulos Curse Dimensionality Adaptive Metric Large Margin nearest Neighbor Classifiers Comparisons through Yijun Sun Mathematical Iterative Extension Multiclass Online Computational George Forman Generators Filtering Practical Scalable Computation Case Score Naive Bayes Models Susana Eyheramendy Madigan Scores Settings Pairwise Constraints-Guided Reduction Wei Tang Shi Zhong Projection Co-Clustering Studies Aggressive by Masoud Makrehchi Mohamed Kamel Proposed Approach Reducing Term Redundancy Bioinformatics Genomic Analysis Lei Yu Redundancy-Based Empirical Generation Biological Sequence Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur Splice-Site Prediction An Identifying Robust Features Biomarker Diana Chan, Susan M. Bridges, Shane Burgess from Proteome Profiles Challenges Identification Model Building Hui Zou Trevor Hastie Ridge Regression, Lasso, Bridge Drawbacks Lasso Elastic Net Elastic-Net Penalized SVM Sparse Eigen-Genes INDEX