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» On the Theory of Stochastic Processors
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AI
2002
Springer
14 years 9 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
TNN
1998
111views more  TNN 1998»
14 years 9 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
BIRTHDAY
2006
Springer
15 years 1 months ago
Realistic Worst-Case Execution Time Analysis in the Context of Pervasive System Verification
We describe a gate level design of a FlexRay-like bus interface. An electronic control unit (ECU) is obtained by integrating this interface into the design of the verified VAMP pro...
Steffen Knapp, Wolfgang J. Paul
IM
2007
14 years 9 months ago
In-Degree and PageRank: Why Do They Follow Similar Power Laws?
PageRank is a popularity measure designed by Google to rank Web pages. Experiments confirm that PageRank values obey a power law with the same exponent as In-Degree values. This ...
Nelly Litvak, Werner R. W. Scheinhardt, Yana Volko...
FGR
2008
IEEE
221views Biometrics» more  FGR 2008»
15 years 4 months ago
Markovian mixture face recognition with discriminative face alignment
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a b...
Ming Zhao 0003, Tat-Seng Chua