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Algorithmic Learning Theory: 12th International Conference, Alt 2001, Washington, Dc, Usa, November 25-28, 2001. Proceedings. (lecture Notes In Computer Science) by Naoki Abe, Roni Khardon, Thomas Zeugmann (eds.) is a nonfiction available to read on EtoBox.

What is Algorithmic Learning Theory: 12th International Conference, Alt 2001, Washington, Dc, Usa, November 25-28, 2001. Proceedings. (lecture Notes In Computer Science) about?

This volume contains the papers presented at the 12th Annual Conference on Algorithmic Learning Theory (ALT 2001), which was held in Washington DC, USA, during November 25–28, 2001. The main objective of the conference is to provide an inter-disciplinary forum for the discussion of theoretical foundations of machine learning, as well as their relevance to practical applications. The conference was co-located with the Fourth International Conference on Discovery Science (DS 2001). The volume includes 21 contributed papers. These papers were selected by the program committee from 42 submissions based on clarity, signi?cance, o- ginality, and relevance to theory and practice of machine learning. Additionally, the volume contains the invited talks of ALT 2001 presented by Dana Angluin of Yale University, USA, Paul R. Cohen of the University of Massachusetts at Amherst, USA, and the joint invited talk for ALT 2001 and DS 2001 presented by Setsuo Arikawa of Kyushu University, Japan. Furthermore, this volume includes abstracts of the invited talks for DS 2001 presented by Lindley Darden and Ben Shneiderman both of the University of Maryland at College Park, USA. The complete versions of t

Who reads Algorithmic Learning Theory: 12th International Conference, Alt 2001, Washington, Dc, Usa, November 25-28, 2001. Proceedings. (lecture Notes In Computer Science)?

Author

Naoki Abe, Roni Khardon, Thomas Zeugmann (eds.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2001

Language

EN

ISBN

9783540428756

Category

nonfiction

Subjects

Mathematics, Science, Language Learning