824 search results - page 86 / 165 » Structural Inference for Semistructured Data |
158
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
136
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
197
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JMLR
2012
13 years 5 months ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
139
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BMCBI
2004
15 years 3 months ago
2004
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
145
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KDD
2009
ACM
16 years 3 months ago
2009
ACM
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...