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» Approximate algorithms for neural-Bayesian approaches
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79
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JMLR
2006
153views more  JMLR 2006»
14 years 10 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
86
Voted
IOR
2010
71views more  IOR 2010»
14 years 7 months ago
Stochastic Root Finding and Efficient Estimation of Convex Risk Measures
Reliable risk measurement is a key problem for financial institutions and regulatory authorities. The current industry standard Value-at-Risk has several deficiencies. Improved ri...
Jörn Dunkel, Stefan Weber
102
Voted
TSP
2011
165views more  TSP 2011»
14 years 5 months ago
Quaternion ICA From Second-Order Statistics
—This paper addresses the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case and therefore only consider the quaterni...
Javier Vía, Daniel P. Palomar, Luis Vielva,...
199
Voted
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 19 days ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
89
Voted
GPEM
2007
119views more  GPEM 2007»
14 years 10 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...