Join Books.org — it's free

Machine Learning, Programming - General & Miscellaneous
Algorithmic Learning Theory by Sanjay Jain β€” book cover

Algorithmic Learning Theory

by Sanjay Jain (Editor), Hans Ulrich Simon (Editor), Etsuji Tomita
Available on Bookshop Write a review

Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.

Log in to track your reading progress.

Overview

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.

Synopsis

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.

Reviews

There are no reviews yet. Log in to write one.

Book Details

Published
January 1, 2008
Publisher
Springer-Verlag New York, LLC
Pages
503
Format
Paperback
ISBN
9783540292425

More by Sanjay Jain

Similar books