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Clarke, Bertrand

Principles and Theory for Data Mining and Machine Learning

Clarke, Bertrand - Principles and Theory for Data Mining and Machine Learning, ebook

80,60€

Ebook, PDF with Adobe DRM
ISBN: 9780387981352
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Table of contents

2. Variability, Information, and Prediction
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

3. Local Smoothers
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

4. Spline Smoothing
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

5. New Wave Nonparametrics
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

6. Supervised Learning: Partition Methods
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

7. Alternative Nonparametrics
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

8. Computational Comparisons
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

9. Unsupervised Learning: Clustering
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

10. Learning in High Dimensions
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

11. Variable Selection
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

12. Multiple Testing
Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

Keywords: Statistics, Statistical Theory and Methods, Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics, Pattern Recognition, Probability and Statistics in Computer Science, Signal, Image and Speech Processing

Author(s)
 
 
Publisher
Springer
Publication year
2009
Language
en
Edition
1
Series
Springer Series in Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9780387981352

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