696 search results - page 67 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
139
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IJIT
2004
15 years 5 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
134
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ICML
1996
IEEE
16 years 5 months ago
1996
IEEE
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
144
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NIPS
2008
15 years 5 months ago
2008
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
187
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AAAI
2010
15 years 5 months ago
2010
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
132
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...