922 search results - page 119 / 185 » Learning Gaussian Process Models from Uncertain Data |
113
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DAGM
2004
Springer
15 years 8 months ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
134
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JMLR
2010
14 years 9 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
107
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IOR
2006
15 years 2 months ago
2006
The paper considers robust optimization to cope with uncertainty about the stock return process in one period option hedging problems. The robust approach relates portfolio choice ...
130
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TNN
2008
15 years 2 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
117
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VISUALIZATION
2005
IEEE
15 years 8 months ago
2005
IEEE
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...