1859 search results - page 293 / 372 » Using Problems to Learn Service-Oriented Computing |
156
Voted
SAT
2005
Springer
15 years 10 months ago
2005
Springer
An important extension of satisfiability testing is model-counting, a task that corresponds to problems such as probabilistic reasoning and computing the permanent of a Boolean ma...
144
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NAACL
2003
15 years 6 months ago
2003
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
139
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UAI
2003
15 years 6 months ago
2003
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
176
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TNN
2010
14 years 11 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
165
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NIPS
2008
15 years 6 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...