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» Extremal Problems of Information Combining
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GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 9 months ago
Non-monotone differential evolution
The Differential Evolution algorithm uses an elitist selection, constantly pushing the population in a strict downhill search, in an attempt to guarantee the conservation of the ...
Michael G. Epitropakis, Vassilis P. Plagianakos, M...
AAAI
2010
13 years 8 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...
AAAI
2010
13 years 8 months ago
The Boosting Effect of Exploratory Behaviors
Active object exploration is one of the hallmarks of human and animal intelligence. Research in psychology has shown that the use of multiple exploratory behaviors is crucial for ...
Jivko Sinapov, Alexander Stoytchev
AIPS
2010
13 years 8 months ago
Forward-Chaining Partial-Order Planning
Over the last few years there has been a revival of interest in the idea of least-commitment planning with a number of researchers returning to the partial-order planning approach...
Amanda Jane Coles, Andrew Coles, Maria Fox, Derek ...
MM
2010
ACM
174views Multimedia» more  MM 2010»
13 years 8 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney