An Kulkarni, Sanjeev. creator Harman, Gilbert. Wiley InterScience (Online service) text bibliography Llibres electrònics. Electronic books. nju Hoboken, N.J Wiley ©2011 2011 monographic eng

electronic resource

1 online resource (1 volume) : illustrations. "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 topics that are not often covered in introductory level books on statistical learning theory, including PAC learning, VC dimension, and simplicity, the authors present upper-undergraduate and graduate levels with the basic theory behind contemporary machine learning and uniquely suggest it serves as an excellent framework for philosophical thinking about inductive inference"--Back cover. 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. Sanjeev Kulkarni, Gilbert Harman. Includes bibliographical references and index. Machine learning Statistical methods Pattern recognition systems Artificial Intelligence Pattern Recognition, Automated Statistics as Topic Aprenentatge automàtic Mètodes estadístics Reconeixement de formes (Informàtica) COMPUTERS Enterprise Applications Business Intelligence Tools COMPUTERS Intelligence (AI) & Semantics Machine learning Statistical methods Pattern recognition systems Maschinelles Lernen Statistik Q325.5 .K85 2011 006.3/1 Q 325.5 Kulkarni, Sanjeev. Hoboken, N.J. : Wiley, ©2011 (OCoLC)726329153 9781118023471 1118023471 9781118023433 1118023439 1283098687 9781283098687 10.1002/9781118023471 Wiley InterScience http://onlinelibrary.wiley.com/book/10.1002/9781118023471 http://onlinelibrary.wiley.com/book/10.1002/9781118023471 DG1 110609 20171119084417.0 ocn729724626 eng