288 search results - page 21 / 58 » Improving Bayesian Network parameter learning using constrai... |
143
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AAAI
2011
14 years 1 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
142
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TKDE
2011
14 years 8 months ago
2011
—This paper proposes a new strategy, the experience transfer, to facilitate the management of large-scale computing systems. It deals with the utilization of management experienc...
TSP
2011
14 years 8 months ago
2011
—Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian and interdimension dependently distributed data, the statistical modelling of which is a...
147
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ICIP
2003
IEEE
15 years 6 months ago
2003
IEEE
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
134
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BMCBI
2008
15 years 1 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...