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» Learning and Generalization with the Information Bottleneck
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CIKM
1995
Springer
15 years 1 months ago
Learning Subjective Relevance to Facilitate Information Access
As the amount of available electronic information is dramatically increasing, the ability for rapid and e ective access to information has become critical. Most traditional inform...
James R. Chen, Nathalie Mathe
SIGIR
2011
ACM
14 years 17 days ago
Parallel learning to rank for information retrieval
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
ICALT
2007
IEEE
14 years 11 months ago
A Collaborative Medical Case Authoring Environment Based on UMLS
In this paper, we present a novel collaborative authoring tool that was designed to allow medical teachers to formalize and visualize their knowledge for medical intelligent tutor...
Siriwan Suebnukarn, Phattanapon Rhienmora, Peter H...
IJCAI
2003
14 years 11 months ago
Information Extraction from Tree Documents by Learning Subtree Delimiters
Information extraction from HTML pages has been conventionally treated as plain text documents extended with HTML tags. However, the growing maturity and correct usage of HTML/XHT...
Boris Chidlovskii
SIGIR
2012
ACM
13 years 5 days ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...