2914 search results - page 315 / 583 » Learning and Inference with Constraints |
166
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AROBOTS
2004
15 years 6 months ago
2004
We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
183
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SPEECH
1998
15 years 6 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
182
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NAACL
2010
15 years 4 months ago
2010
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
174
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ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
185
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JMLR
2010
15 years 1 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...