288 search results - page 39 / 58 » Improving Bayesian Network parameter learning using constrai... |
IPPS
1998
IEEE
15 years 5 months ago
1998
IEEE
This paper presents our work on the static task scheduling model using the mean-field annealing (MFA) technique. Mean-field annealing is a technique of thermostatic annealing that...
174
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BSN
2011
IEEE
14 years 1 months ago
2011
IEEE
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
OR
2002
Springer
15 years 27 days ago
2002
Springer
We examine a decision-theoretic Bayesian framework for the estimation of Sharpe Style portfolio weights of the MSCI sector returns. Following van Dijk and Kloek (1980) an appropri...
116
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ICRA
2009
IEEE
15 years 8 months ago
2009
IEEE
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
113
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ESANN
2003
15 years 2 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...