4660 search results - page 245 / 932 » Learning from imperfect data |
135
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ICML
2002
IEEE
16 years 6 months ago
2002
IEEE
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
148
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VLDB
1997
ACM
15 years 9 months ago
1997
ACM
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
152
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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...
138
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CVPR
2007
IEEE
16 years 7 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
158
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ICTAI
2006
IEEE
15 years 11 months ago
2006
IEEE
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...