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» Expansion and Search in Networks
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UAI
2001
15 years 7 months ago
Improved learning of Bayesian networks
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...
Tomás Kocka, Robert Castelo
NN
1998
Springer
15 years 6 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
HPDC
2005
IEEE
16 years 3 days ago
Dynamic load balancing for distributed search
This paper examines how computation can be mapped across the nodes of a distributed search system to effectively utilize available resources. We specifically address computationa...
Larry Huston, Alex Nizhner, Padmanabhan Pillai, Ra...
EVOW
2008
Springer
15 years 8 months ago
Architecture Performance Prediction Using Evolutionary Artificial Neural Networks
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
CHI
2008
ACM
16 years 6 months ago
Searching for expertise
It is well established that there is a need to find experts to get answers or advice. A variety of expertise locator tools have emerged to help locate the right person. But there ...
Kate Ehrlich, N. Sadat Shami