Book Details

Learning Theory

Publication year: 2007

ISBN: 978-3-540-72927-3

Internet Resource: Please Login to download book


It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems.


Subject: Computer Science, Alphabet, active learning, algorithm, algorithmic learning, algorithms, classification, complexity, computational learning, decision theory, game theory, inductive inference, kernel method, machine learning, optimization, stability