Related Books
Language: en
Pages: 324
Pages: 324
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a gene
Language: en
Pages: 617
Pages: 617
Type: BOOK - Published: 2023-08-01 - Publisher: Springer Nature
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast
Language: en
Pages: 119
Pages: 119
Type: BOOK - Published: 2012-01-13 - Publisher: MIT Press
The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni
Language: en
Pages: 295
Pages: 295
Type: BOOK - Published: 2009-08-13 - Publisher: Cambridge University Press
Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular
Language: en
Pages: 267
Pages: 267
Type: BOOK - Published: 2011-06-09 - Publisher: John Wiley & Sons
A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading resea