2960 search results - page 380 / 592 » Learning from Multiple Sources |
121
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IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
119
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SIGIR
2010
ACM
15 years 7 months ago
2010
ACM
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
139
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AAAI
2008
15 years 6 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
129
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IJPRAI
2002
15 years 3 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
155
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SIGMETRICS
2005
ACM
15 years 9 months ago
2005
ACM
The ability to discover the AS-level path between two end-points is valuable for network diagnosis, performance optimization, and reliability enhancement. Virtually all existing t...