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» Some Properties and Some Problems on Set Functors
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NIPS
2003
15 years 8 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
ACL
1998
15 years 8 months ago
Time Mapping with Hypergraphs
Word graphs are able to represent a large number of different utterance hypotheses in a very compact manner. However, usually they contain a huge amount of redundancy in terms of ...
Jan W. Amtrup, Volker Weber
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 6 months ago
Gaussian Belief Propagation Solver for Systems of Linear Equations
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we ...
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny B...
CORR
2007
Springer
87views Education» more  CORR 2007»
15 years 6 months ago
Symbol Error Rates of Maximum-Likelihood Detector: Convex/Concave Behavior and Applications
— Convexity/concavity properties of symbol error rates (SER) of the maximum likelihood detector operating in the AWGN channel (non-fading and fading) are studied. Generic conditi...
Sergey Loyka, Victoria Kostina, François Ga...
JDA
2006
85views more  JDA 2006»
15 years 6 months ago
Average case analysis of DJ graphs
Abstract. Sreedhar et al. [SGL98, Sre95] have presented an eliminationbased algorithm to solve data flow problems. A thorough analysis of the algorithm shows that the worst-case pe...
Johann Blieberger