5866 search results - page 297 / 1174 » An e-Process Selection Model |
143
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
158
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ICANN
2007
Springer
16 years 23 days ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
153
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
163
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SAMT
2009
Springer
16 years 1 months ago
2009
Springer
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
148
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DATE
2006
IEEE
16 years 20 days ago
2006
IEEE
— We present a probabilistic fault model that allows any number of gates in an integrated circuit to fail probabilistically. Tests for this fault model, determined using the theo...