840 search results - page 78 / 168 » A New Discriminative Kernel From Probabilistic Models |
117
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NIPS
2003
15 years 1 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
149
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PAMI
2012
13 years 2 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
ISI
2008
Springer
14 years 11 months ago
2008
Springer
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
103
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RAS
2000
14 years 11 months ago
2000
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
EMNLP
2006
15 years 1 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...