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CI
2004
116views more  CI 2004»
13 years 7 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
CSB
2003
IEEE
14 years 1 months ago
LOGOS: a modular Bayesian model for de novo motif detection
The complexity of the global organization and internal structures of motifs in higher eukaryotic organisms raises significant challenges for motif detection techniques. To achiev...
Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M...
ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 7 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ICASSP
2009
IEEE
13 years 11 months ago
Learning to maximize signal-to-noise ratio for reverberant speech segregation
Monaural speech segregation in reverberant environments is a very difficult problem. We develop a supervised learning approach by proposing an objective function that directly rel...
Zhaozhang Jin, DeLiang Wang
HICSS
1994
IEEE
117views Biometrics» more  HICSS 1994»
13 years 11 months ago
Providing for Organizational Memory in Computer-Supported Meetings
Meeting memory features are poorly integrated into current group support systems (GSS). This paper discusses how to introduce meeting memory functionality into a GSS. The paper fi...
Gerhard Schwabe