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JAIR
2000
152views more  JAIR 2000»
15 years 6 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
JCNS
2000
64views more  JCNS 2000»
15 years 6 months ago
A Simple Mathematical Model of Second-Messenger Mediated Slow Excitatory
We have developed a novel and simple mathematical model of a slow excitatory postsynaptic potential ased on an abstraction of the processes of activation, inactivation, and summati...
P. P. Bertrand, E. A. Thomas, W. A. A. Kunze, J. C...
JGAA
2000
85views more  JGAA 2000»
15 years 6 months ago
Techniques for the Refinement of Orthogonal Graph Drawings
Current orthogonal graph drawing algorithms produce drawings which are generally good. However, many times the quality of orthogonal drawings can be significantly improved with a ...
Janet M. Six, Konstantinos G. Kakoulis, Ioannis G....
JGAA
2000
179views more  JGAA 2000»
15 years 6 months ago
Approximation Algorithms for Some Graph Partitioning Problems
This paper considers problems of the following type: given an edgeweighted k-colored input graph with maximum color class size c, find a minimum or maximum c-way cut such that eac...
George He, Jiping Liu, Cheng Zhao
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
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