Algorithmic Learning Theory

Algorithmic Learning Theory
Author :
Publisher : Springer Science & Business Media
Total Pages : 502
Release :
ISBN-10 : 9783540292425
ISBN-13 : 354029242X
Rating : 4/5 (25 Downloads)

Book Synopsis Algorithmic Learning Theory by : Sanjay Jain

Download or read book Algorithmic Learning Theory written by Sanjay Jain and published by Springer Science & Business Media. This book was released on 2005-09-26 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Algorithmic Learning Theory, ALT 2005, held in Singapore in October 2005. The 30 revised full papers presented together with 5 invited papers and an introduction by the editors were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on kernel-based learning, bayesian and statistical models, PAC-learning, query-learning, inductive inference, language learning, learning and logic, learning from expert advice, online learning, defensive forecasting, and teaching.


Algorithmic Learning Theory Related Books

Algorithmic Learning Theory
Language: en
Pages: 502
Authors: Sanjay Jain
Categories: Computers
Type: BOOK - Published: 2005-09-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 16th International Conference on Algorithmic Learning Theory, ALT 2005, held in Singapore in October 2005.
Boosting
Language: en
Pages: 544
Authors: Robert E. Schapire
Categories: Computers
Type: BOOK - Published: 2014-01-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and
Algorithmic Learning Theory
Language: en
Pages: 519
Authors: Shai Ben David
Categories: Computers
Type: BOOK - Published: 2004-09-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathemati
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Algorithmic Learning in a Random World
Language: en
Pages: 344
Authors: Vladimir Vovk
Categories: Computers
Type: BOOK - Published: 2005-03-22 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorith