940 search results - page 25 / 188 » Learning Word Representations from Relational Graphs |
136
Voted
BIBM
2007
IEEE
15 years 10 months ago
2007
IEEE
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
146
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
138
Voted
JMLR
2010
14 years 10 months ago
2010
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
145
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
148
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...