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» Collaborative Learning for Constraint Solving
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78
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ICCV
2009
IEEE
16 years 4 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
84
Voted
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 6 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
ETS
2000
IEEE
113views Hardware» more  ETS 2000»
14 years 11 months ago
NetChat: Communication and Collaboration via WWW
Practice has shown that providing content to students alone is not sufficient for good learning results. In computer based training (CBT) and especially webbased training (WBT) en...
Reinhard Kreutz, Sven Kiesow, Klaus Spitzer
AAAI
1994
15 years 1 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
LCN
2006
IEEE
15 years 5 months ago
Sensor Networks Routing via Bayesian Exploration
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
Shuang Hao, Ting Wang