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» Probabilistic Predicative Programming
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NIPS
2003
13 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
AAAI
2000
13 years 8 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
ACL
1998
13 years 8 months ago
Machine Translation with a Stochastic Grammatical Channel
We introduce a stochastic grammatical channel model for machine translation, that synthesizes several desirable characteristics of both statistical and grammatical machine transla...
Dekai Wu, Hongsing Wong
BMCBI
2010
137views more  BMCBI 2010»
13 years 7 months ago
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...
Michael L. Sierk, Michael E. Smoot, Ellen J. Bass,...
BMCBI
2007
124views more  BMCBI 2007»
13 years 7 months ago
Analysis on multi-domain cooperation for predicting protein-protein interactions
Background: Domains are the basic functional units of proteins. It is believed that protein-protein interactions are realized through domain interactions. Revealing multi-domain c...
Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun ...