Join Books.org — it's free

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

Algorithmic Learning Theory

by Ricard Gavald (Editor), Klaus P. Jantke (Editor), Eiji Takimoto
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 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.

The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.

Synopsis

This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.

The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.

Reviews

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

Book Details

Published
January 1, 2008
Publisher
Springer-Verlag New York, LLC
Pages
328
Format
Paperback
ISBN
9783540202912

Similar books