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» On learning in agent-centered search
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JAIR
2000
102views more  JAIR 2000»
14 years 11 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
TKDE
2010
224views more  TKDE 2010»
14 years 10 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
TKDE
2002
121views more  TKDE 2002»
14 years 11 months ago
ACIRD: Intelligent Internet Document Organization and Retrieval
This paper presents an intelligent Internet information system, Automatic Classifier for the Internet Resource Discovery (ACIRD), which uses machine learning techniques to organiz...
Shian-Hua Lin, Meng Chang Chen, Jan-Ming Ho, Yueh-...
SIGIR
2012
ACM
13 years 2 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
WWW
2009
ACM
15 years 6 months ago
A probabilistic model based approach for blended search
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
Ning Liu, Jun Yan, Zheng Chen