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116
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AAAI
2006
15 years 2 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
97
Voted
WSC
2000
15 years 2 months ago
Emerging issues in healthcare simulation
Despite the size and importance of the health care industry, simulation is less prevalent in health care than in other fields such as manufacturing, logistics, and military applic...
Susan M. Sanchez, David M. Ferrin, Tom Ogazon, Jos...
ECIR
2010
Springer
15 years 26 days ago
Learning to Distribute Queries into Web Search Nodes
Web search engines are composed of a large set of search nodes and a broker machine that feeds them with queries. A location cache keeps minimal information in the broker to regist...
Marcelo Mendoza, Mauricio Marín, Flavio Fer...
106
Voted
ICIP
2010
IEEE
14 years 10 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...
114
Voted
ROCAI
2004
Springer
15 years 6 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil