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» Ranking and Scoring Using Empirical Risk Minimization
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83
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COLT
2005
Springer
15 years 4 months ago
Ranking and Scoring Using Empirical Risk Minimization
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
Stéphan Clémençon, Gáb...
85
Voted
NIPS
2008
15 years 10 days ago
Overlaying classifiers: a practical approach for optimal ranking
ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
Stéphan Clémençon, Nicolas Va...
67
Voted
3DOR
2008
15 years 1 months ago
Similarity Score Fusion by Ranking Risk Minimization for 3D Object Retrieval
Ceyhun Burak Akgül, Bülent Sankur, Y&uum...
ICASSP
2010
IEEE
14 years 5 months ago
Search error risk minimization in Viterbi beam search for speech recognition
This paper proposes a method to optimize Viterbi beam search based on search error risk minimization in large vocabulary continuous speech recognition (LVCSR). Most speech recogni...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
112
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 11 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy