2914 search results - page 291 / 583 » Learning and Inference with Constraints |
183
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ALT
2007
Springer
16 years 26 days ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
217
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ML
2000
ACM
15 years 6 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
158
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...
152
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
180
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...