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» Learning Behavior Models for Hybrid Timed Systems
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ABIALS
2008
Springer
15 years 2 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
HICSS
2008
IEEE
147views Biometrics» more  HICSS 2008»
15 years 7 months ago
Can Peer-to-Peer Networks Facilitate Information Sharing in Collaborative Learning?
Many peer-to-peer (P2P) networks have been widely used for file sharing. A peer acts both as a content provider and a consumer, and is granted autonomy to decide what content, wit...
Fu-ren Lin, Sheng-cheng Lin, Ying-fen Wang
ICML
2010
IEEE
15 years 1 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
104
Voted
CORR
2010
Springer
174views Education» more  CORR 2010»
15 years 24 days ago
Hybrid Numerical Solution of the Chemical Master Equation
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...
Thomas A. Henzinger, Maria Mateescu, Linar Mikeev,...
103
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FTCS
1998
114views more  FTCS 1998»
15 years 2 months ago
Verification of a Safety-Critical Railway Interlocking System with Real-Time Constraints
Ensuring the correctness of computer systems used in lifecritical applications is very difficult. The most commonly used verification methods, simulation and testing, are not exha...
Vicky Hartonas-Garmhausen, Sérgio Vale Agui...