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» Learning Bounds for Domain Adaptation
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GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 4 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
100
Voted
IJON
2008
158views more  IJON 2008»
15 years 17 days ago
An adaptive stereo basis method for convolutive blind audio source separation
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...
IPM
2008
139views more  IPM 2008»
15 years 17 days ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001
107
Voted
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
14 years 11 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
15 years 7 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...