Search Images Maps Play YouTube News Gmail Drive More »
Sign in
Books Books 21 - 30 of about 48 related to The Nature of Statistical Learning Theory.   

Nonlinear Modeling: Advanced Black-Box Techniques

Johan A.K. Suykens, Joos P.L. Vandewalle - Technology & Engineering - 2012 - 256 pages
Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream ...
Limited preview - About this book

Support Vector Machines: Theory and Applications

Lipo Wang - Computers - 2005 - 431 pages
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the ...
Limited preview - About this book

Measures of Complexity: Festschrift for Alexey Chervonenkis

Vladimir Vovk, Harris Papadopoulos, Alexander Gammerman - Computers - 2015 - 399 pages
This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical ...
Limited preview - About this book

Neural Networks for Speech and Sequence Recognition

Yoshua Bengio - Computers - 1996 - 167 pages
Sequence recognition is a crucial element in many applications in the fields of speech analysis, control, and modeling. This book applies the techniques of neural networks and ...
Snippet view - About this book

Nonlinear Estimation and Classification

David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick, Bin Yu - Mathematics - 2013 - 477 pages
Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in ...
Limited preview - About this book

Understanding Machine Learning: From Theory to Algorithms

Shai Shalev-Shwartz, Shai Ben-David - Computers - 2014 - 409 pages
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Limited preview - About this book




  1. My library
  2. Help
  3. Advanced Book Search