An elementary introduction to statistical learning theory /

"A joint endeavor from leading researchers in the fields of philosophy and electrical engineering An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kulkarni, Sanjeev
Otros Autores: Harman, Gilbert
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2011.
Colección:Wiley series in probability and statistics.
Temas:
Machine learning > Statistical methods.
Pattern recognition systems.
Artificial intelligence.
Statistics.
Artificial Intelligence
Pattern Recognition, Automated
Statistics as Topic
Apprentissage automatique > Méthodes statistiques.
Reconnaissance des formes (Informatique)
Intelligence artificielle.
Statistiques.
Statistique.
artificial intelligence.
statistics.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Statistics
Artificial intelligence
Machine learning > Statistical methods
Pattern recognition systems
Maschinelles Lernen
Statistik
Llibres electrònics.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction: Classification, Learning, Features, and Applications
  • Probability
  • Probability Densities
  • The Pattern Recognition Problem
  • The Optimal Bayes Decision Rule
  • Learning from Examples
  • The Nearest Neighbor Rule
  • Kernel Rules
  • Neural Networks: Perceptrons
  • Multilayer Networks
  • PAC Learning
  • VC Dimension
  • Infinite VC Dimension
  • The Function Estimation Problem
  • Learning Function Estimation
  • Simplicity
  • Support Vector Machines
  • Boosting.

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