1340 search results - page 169 / 268 » Structure learning of Bayesian networks using constraints |
131
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NIPS
1996
15 years 5 months ago
1996
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
114
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ESANN
2003
15 years 5 months ago
2003
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
159
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ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
170
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ECSQARU
2009
Springer
15 years 11 months ago
2009
Springer
A BN2O network is a Bayesian network having the structure of a bipartite graph with all edges directed from one part (the top level) toward the other (the bottom level) and where a...
138
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IROS
2009
IEEE
15 years 11 months ago
2009
IEEE
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...