2914 search results - page 236 / 583 » Learning and Inference with Constraints |
176
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IJCAI
2007
15 years 8 months ago
2007
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
182
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INCDM
2010
Springer
15 years 5 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
196
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
223
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SAS
1992
Springer
15 years 10 months ago
1992
Springer
Abstract Constraint logic programming (CLP) is a generalization of the pure logic programming paradigm, having similar model-theoretic, fixpoint and operational semantics [9]. Sinc...
216
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IJCAI
1989
15 years 7 months ago
1989
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...