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» Learning Gaussian Process Models from Uncertain Data
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COLT
2008
Springer
15 years 4 months ago
Learning in the Limit with Adversarial Disturbances
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Constantine Caramanis, Shie Mannor
128
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
132
Voted
ECML
2006
Springer
15 years 6 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
132
Voted
RECOMB
2004
Springer
16 years 2 months ago
Probabilistic discovery of overlapping cellular processes and their regulation
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...
Alexis Battle, Eran Segal, Daphne Koller
120
Voted
SIGIR
2003
ACM
15 years 7 months ago
Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute userā...
Rinat Khoussainov, Nicholas Kushmerick