2878 search results - page 116 / 576 » Learning the Common Structure of Data |
135
Voted
CVPR
2008
IEEE
15 years 10 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...
158
Voted
SOCIALCOM
2010
15 years 1 months ago
2010
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
121
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
122
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COGSCI
2010
15 years 3 months ago
2010
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
110
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...