Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Algorithmic Learning Theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings, PDF eBook

Algorithmic Learning Theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings PDF

Edited by Ricard Gavalda, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles

Part of the Lecture Notes in Computer Science series

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009.

The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions.

The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

The volume also contains abstracts of the invited talks: Sanjoy Dasgupta, The Two Faces of Active Learning; Hector Geffner, Inference and Learning in Planning; Jiawei Han, Mining Heterogeneous; Information Networks By Exploring the Power of Links, Yishay Mansour, Learning and Domain Adaptation; Fernando C.N.

Pereira, Learning on the Web.

Information

Information