3137 search results - page 160 / 628 » A Text Understander that Learns |
176
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SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
162
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COLT
1994
Springer
15 years 10 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
200
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ICIP
2004
IEEE
16 years 8 months ago
2004
IEEE
The work presents the first effort to automatically annotate the semantic meanings of temporal video patterns obtained through unsupervised discovery processes. This problem is in...
159
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IWANN
2009
Springer
16 years 1 months ago
2009
Springer
In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and genera...
199
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...