Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/32612
Title: Algorithmic Learning Theory: 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006. Proceedings
Authors: Balcázar, Jose L.
Long, Philip M.
Stephan, Frank
Keywords: Artificial Intelligence
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
Document Preparation and Text Processing
Issue Date: 2006
Publisher: Springer-Verlag Berlin Heidelberg
Abstract: This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006. The 24 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 53 submissions. The papers are dedicated to the theoretical foundations of machine learning. They address topics such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, reinforcement learning, and statistical learning models.
URI: https://lib.hpu.edu.vn/handle/123456789/32612
ISBN: 302974335
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
Algorithmic-Lear-1366.pdf
  Restricted Access
6.39 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.