4773 search results - page 268 / 955 » Learning from Uncertain Data |
151
Voted
AAAI
2008
15 years 7 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
137
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ICPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
176
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JMLR
2010
14 years 11 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
104
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ICPR
2006
IEEE
16 years 6 months ago
2006
IEEE
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
120
Voted
JMLR
2010
14 years 11 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...