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Statistical Learning Theory
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Overview of Statistical Learning Theory Book
| Title | Statistical Learning Theory |
| Author | Vladimir N. Vapnik |
| ISBN-13 | 9788126528929 |
| Publication | STAR EXCLUSIVE |
It is particularly germane to this series which is concerned with "Adaptive and Learning Systems", specifically as applied in neural networks, fuzzy systems and artificial intelligence. Table of Contents: Theory of Learning and Generalization Two Approaches to the Learning Problem Estimation of the Probability Measure and Problem of Learning. Conditions for Consistency of Empirical Risk Minimization Principle. The Structural Risk Minimization Principle. Stochastic Ill-Posed Problems. Support Vector Estimation of Functions. Perceptron's and Their Generalizations. SV Machines for Function Approximations, Regression Estimation and Signal Processing. Statistical Foundation of Learning Theory Necessary and Sufficient Conditions for Uniform Convergence of Frequencies to Their Probabilities Necessary and Sufficient Conditions for Uniform One-Sided Convergence of Means to Their Expectations Comments and Bibliographical Remarks References Index.
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Overview of Statistical Learning Theory Book
It is particularly germane to this series which is concerned with "Adaptive and Learning Systems", specifically as applied in neural networks, fuzzy systems and artificial intelligence. Table of Contents: Theory of Learning and Generalization Two Approaches to the Learning Problem Estimation of the Probability Measure and Problem of Learning. Conditions for Consistency of Empirical Risk Minimization Principle. The Structural Risk Minimization Principle. Stochastic Ill-Posed Problems. Support Vector Estimation of Functions. Perceptron's and Their Generalizations. SV Machines for Function Approximations, Regression Estimation and Signal Processing. Statistical Foundation of Learning Theory Necessary and Sufficient Conditions for Uniform Convergence of Frequencies to Their Probabilities Necessary and Sufficient Conditions for Uniform One-Sided Convergence of Means to Their Expectations Comments and Bibliographical Remarks References Index.
Book Type :
Statistics
Book Binding :
Not Available
Language :
English
No. of Pages :
762 Pages
ISBN - 10 :
8126528923
ISBN - 13 :
9788126528929
Statistical Learning Theory Published On :
29 December 2010
Publisher :
Wiley India Pvt Ltd
Edition :
Not Available
About Vladimir N. Vapnik:
Vladimir N. Vapnik is the author of Statistical Learning Theory.
Disclaimer:
- Statistical Learning Theory book is not for reading online or for free download in PDF or eBook format.
- Table of Contents, Index, Syllabus, summary and image of Statistical Learning Theory may be of a different edition or of the same title.
- Price can change due to reprinting, price change by publisher or sourcing cost change for imported books.
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Overview of Statistical Learning Theory Book
| Title | Statistical Learning Theory |
| Author | Vladimir N. Vapnik |
| ISBN-13 | 9788126528929 |
| Publication | STAR EXCLUSIVE |
It is particularly germane to this series which is concerned with "Adaptive and Learning Systems", specifically as applied in neural networks, fuzzy systems and artificial intelligence. Table of Contents: Theory of Learning and Generalization Two Approaches to the Learning Problem Estimation of the Probability Measure and Problem of Learning. Conditions for Consistency of Empirical Risk Minimization Principle. The Structural Risk Minimization Principle. Stochastic Ill-Posed Problems. Support Vector Estimation of Functions. Perceptron's and Their Generalizations. SV Machines for Function Approximations, Regression Estimation and Signal Processing. Statistical Foundation of Learning Theory Necessary and Sufficient Conditions for Uniform Convergence of Frequencies to Their Probabilities Necessary and Sufficient Conditions for Uniform One-Sided Convergence of Means to Their Expectations Comments and Bibliographical Remarks References Index.