8970 search results - page 317 / 1794 » Learning to Learn Causal Models |
194
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FLAIRS
2004
15 years 8 months ago
2004
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
176
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FLAIRS
2006
15 years 8 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
204
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JMLR
2010
15 years 1 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
188
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
141
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AMAI
2004
Springer
16 years 4 days ago
2004
Springer
This work introduces a new query inference model that can access data and communicate with a teacher by asking finitely many boolean queries in a language L. In this model the pa...