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» Learning to Improve both Efficiency and Quality of Planning
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CVPR
2005
IEEE
14 years 11 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
AI
2008
Springer
13 years 9 months ago
Strategic bidding in continuous double auctions
In this paper, we describe a novel bidding strategy that autonomous trading agents can use to participate in Continuous Double Auctions (CDAs). Our strategy is based on both short...
Perukrishnen Vytelingum, Dave Cliff, Nicholas R. J...
PPL
2010
117views more  PPL 2010»
13 years 3 months ago
Neighborhood Structures for GPU-Based Local Search Algorithms
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
ISI
2005
Springer
14 years 2 months ago
Information Supply Chain: A Unified Framework for Information-Sharing
To balance demand and supply of information, we propose a framework called “information supply chain” (ISC). This framework is based on supply chain management (SCM), which has...
Shuang Sun, John Yen
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 10 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...