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105
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UAI
2004
15 years 3 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
118
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ATAL
2009
Springer
15 years 3 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso
133
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BMCBI
2008
140views more  BMCBI 2008»
15 years 2 months ago
Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework
Background: Structural alignment of RNAs is becoming important, since the discovery of functional non-coding RNAs (ncRNAs). Recent studies, mainly based on various approximations ...
Kazutaka Katoh, Hiroyuki Toh
CSL
2010
Springer
15 years 2 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
BMCBI
2006
125views more  BMCBI 2006»
15 years 2 months ago
Automated functional classification of experimental and predicted protein structures
Background: Proteins that are similar in sequence or structure may perform different functions in nature. In such cases, function cannot be inferred from sequence or structural si...
Kai Wang, Ram Samudrala
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