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» Gaussian Processes for Machine Learning
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KAIS
2006
102views more  KAIS 2006»
13 years 7 months ago
Visual information extraction
Typographic and visual information is an integral part of textual documents. Most information extraction systems ignore most of this visual information, processing the text as a l...
Yonatan Aumann, Ronen Feldman, Yair Liberzon, Biny...
ESWA
2008
169views more  ESWA 2008»
13 years 7 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
ECTEL
2009
Springer
14 years 2 months ago
Distributed Awareness for Class Orchestration
The orchestration process consists of managing classroom interactions at multiple levels: individual activities, teamwork and class-wide sessions. We study the process of orchestra...
Hamed S. Alavi, Pierre Dillenbourg, Fréd&ea...