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98
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TSMC
2008
146views more  TSMC 2008»
15 years 19 days ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
108
Voted
PAMI
2002
124views more  PAMI 2002»
15 years 12 days ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown
117
Voted
IFIPTM
2010
140views Management» more  IFIPTM 2010»
14 years 11 months ago
Shinren: Non-monotonic Trust Management for Distributed Systems
Abstract. The open and dynamic nature of modern distributed systems and pervasive environments presents significant challenges to security management. One solution may be trust ma...
Changyu Dong, Naranker Dulay
115
Voted
WEBI
2010
Springer
14 years 10 months ago
Stochastic Simulation of Web Users
A biologically inspired cognitive model is presented for human decision making and applied to the simulation of the web user. The model is based on the Neurophysiology description ...
Pablo E. Román, Juan D. Velásquez
119
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TASLP
2011
14 years 7 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme