321 search results - page 32 / 65 » Learning Bayesian Networks with Local Structure |
167
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BMCBI
2011
14 years 9 months ago
2011
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
132
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IEEECIT
2010
IEEE
15 years 12 days ago
2010
IEEE
—In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the...
112
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ICDM
2010
IEEE
14 years 12 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
130
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ICDAR
2009
IEEE
15 years 8 months ago
2009
IEEE
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
115
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AAAI
2006
15 years 3 months ago
2006
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...