(Ebook) Computational Methods of Feature Selection 1st Edition by Huan Liu, Hiroshi Motoda ISBN 1584888784 978-1584888789

(Ebook) Computational Methods of Feature Selection 1st Edition by Huan Liu, Hiroshi Motoda ISBN 1584888784 978-1584888789

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Product details:

ISBN 10: 1584888784

ISBN 13: 978-1584888789 

Author: Huan Liu, Hiroshi Motoda 

Table of contents:

Part I: Introduction and Background
Chapter 1: Less Is More
Chapter 2: Unsupervised Feature Selection
Chapter 3: Randomized Feature Selection
Chapter 4: Causal Feature Selection
Part II: Extending Feature Selection
Chapter 5: Active Learning of Feature Relevance
Chapter 6: A Study of Feature Extraction Techniques Based on Decision Border Estimate
Chapter 7: Ensemble-Based Variable Selection Using Independent Probes
Chapter 8: Efficient Incremental-Ranked Feature Selection in Massive Data
Part III: Weighting and Local Methods
Chapter 9: Non-Myopic Feature Quality Evaluation with (R)ReliefF
Chapter 10: Weighting Method for Feature Selection in K-Means
Chapter 11: Local Feature Selection for Classification
Chapter 12: Feature Weighting through Local Learning
Part IV: Text Classification and Clustering
Chapter 13: Feature Selection for Text Classification
Chapter 14: A Bayesian Feature Selection Score Based on Naïve Bayes Models
Chapter 15: Pairwise Constraints-Guided Dimensionality Reduction
Chapter 16: Aggressive Feature Selection by Feature Ranking
Part V: Feature Selection in Bioinformatics
Chapter 17: Feature Selection for Genomic Data Analysis
Chapter 18: A Feature Generation Algorithm with Applications to Biological Sequence Classification
Chapter 19: An Ensemble Method for Identifying Robust Features for Biomarker Discovery
Chapter 20: Model Building and Feature Selection with Genomic Data

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Tags: Huan Liu, Hiroshi Motoda, Computational Methods, Feature Selection