181 search results - page 29 / 37 » Learning bayesian networks consistent with the optimal branc... |
ITS
2004
Springer
14 years 21 days ago
2004
Springer
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
PASTE
2010
ACM
14 years 12 days ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...