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» Performance Prediction for Component Compositions
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IJCAI
2003
13 years 10 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
FASE
2004
Springer
14 years 2 months ago
Predictable Dynamic Plugin Systems
Abstract. To be able to build systems by composing a variety of components dynamically, adding and removing as required, is desirable. Unfortunately systems with evolving architect...
Robert Chatley, Susan Eisenbach, Jeff Kramer, Jeff...
ENTCS
2007
97views more  ENTCS 2007»
13 years 8 months ago
Safety-Oriented Design of Component Assemblies using Safety Interfaces
This paper promotes compositional reasoning in the context of safety-critical systems, and demonstrates a safety-oriented component model using an application from the automotive ...
Jonas Elmqvist, Simin Nadjm-Tehrani
CVPR
2007
IEEE
14 years 11 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
BMCBI
2010
123views more  BMCBI 2010»
13 years 9 months ago
An improved classification of G-protein-coupled receptors using sequence-derived features
Background: G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structur...
Zhen-Ling Peng, Jian-Yi Yang, Xin Chen