Sale!

Computational Methods of Feature Selection 1st Edition by Huan Liu, Hiroshi Motoda ISBN 1584888792 9781584888796

Original price was: $50.00.Current price is: $35.00.

Computational Methods of Feature Selection 1st Edition Huan Liu (Editor) Digital Instant Download

Author(s): Huan Liu (Editor); Hiroshi Motoda (Editor)
ISBN(s): 9781584888796, 1584888792
Edition: 1
File Details: PDF, 15.24 MB
Year: 2007
Language: english
SKU: EB-11966236 Category: Tags: ,

Computational Methods of Feature Selection 1st Edition by Huan Liu, Hiroshi Motoda – Ebook PDF Instant Download/Delivery: 1584888792, 9781584888796
Full download Computational Methods of Feature Selection 1st Edition after payment

Product details:

ISBN 10: 1584888792
ISBN 13: 9781584888796
Author: Huan Liu, Hiroshi Motoda

Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the

Computational Methods of Feature Selection 1st Table of contents:

Part I: Introduction and Background

  • less is more

  • unsupervised feature selection

  • randomized feature selection

  • causal feature selection

Part II: Extending Feature Selection

  • active learning of feature relevance

  • a study of feature extraction techniques based on decision border estimate

  • ensemble-based variable selection using independent probes

  • efficient incremental-ranked feature selection in massive data

Part III: Weighting and Local Methods

  • non-myopic feature quality evaluation with (r)relieff

  • weighting method for feature selection in k-means

  • local feature selection for classification

  • feature weighting through local learning

Part IV: Text Classification and Clustering

  • feature selection for text classification

  • a bayesian feature selection score based on naïve bayes models

  • pairwise constraints-guided dimensionality reduction

  • aggressive feature selection by feature ranking

Part V: Feature Selection in Bioinformatics

  • feature selection for genomic data analysis

  • a feature generation algorithm with applications to biological sequence classification

  • an ensemble method for identifying robust features for biomarker discovery

  • model building and feature selection with genomic data

People also search for Computational Methods of Feature Selection 1st:

computational methods of feature selection pdf
    
types of feature selection methods
    
types of feature selection
    
what is feature selection
    
feature selection methods machine learning

Tags: Huan Liu, Hiroshi Motoda, Feature Selection