1340 search results - page 177 / 268 » Structure learning of Bayesian networks using constraints |
161
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NIPS
2007
15 years 6 months ago
2007
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
135
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GECCO
2004
Springer
15 years 10 months ago
2004
Springer
Most problems studied in artificial intelligence possess some form of structure, but a precise way to define such structure is so far lacking. We investigate how the notion of pr...
133
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RECOMB
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. While the discovery of structural variants in the human population is ongoing, most methods for this task assume that the genome is sequenced to high coverage (e.g. 40x),...
218
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AINA
2008
IEEE
15 years 11 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
143
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...