5244 search results - page 126 / 1049 » Structural Complexity of AvgBPP |
138
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ICDM
2010
IEEE
15 years 2 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...
157
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JMLR
2010
14 years 11 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
146
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PAMI
2010
14 years 11 months ago
2010
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a li...
128
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ESANN
2006
15 years 5 months ago
2006
Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
118
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JMLR
2002
15 years 3 months ago
2002
One of the most important fundamental properties of Bayesian networks is the representational power, reflecting what kind of functions they can or cannot represent. In this paper,...