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» Learning and Generalization with the Information Bottleneck
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COLT
2007
Springer
16 years 15 days ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo
SIGIR
2010
ACM
15 years 10 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
16 years 6 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
WWW
2005
ACM
16 years 7 months ago
Ontology-based learning content repurposing
This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, t...
Katrien Verbert, Dragan Gasevic, Jelena Jovanovic,...
ICPR
2008
IEEE
16 years 23 days ago
Relevant pattern selection for subspace learning
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern(data) selection method as preprocessing. Generally, a training set for subspa...
Jin Hee Na, Seok Min Yun, Minsoo Kim, Jin Young Ch...