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COLING
2010
14 years 11 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
DM
2011
264views Education» more  DM 2011»
14 years 11 months ago
Connectivity threshold and recovery time in rank-based models for complex networks
The World Wide Web may be viewed as a graph each of whose vertices corresponds to a static HTML web page, and each of whose edges corresponds to a hyperlink from one web page to an...
Pawel Pralat
JOCN
2011
67views more  JOCN 2011»
14 years 11 months ago
Reasoning with Exceptions: An Event-related Brain Potentials Study
■ Defeasible inferences are inferences that can be revised in the light of new information. Although defeasible inferences are pervasive in everyday communication, little is kno...
Judith Pijnacker, Bart Geurts, Michiel van Lambalg...
SAC
2011
ACM
14 years 11 months ago
Stochastic matching pursuit for Bayesian variable selection
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai, Ying Ni...
SAC
2011
ACM
14 years 11 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker