1313 search results - page 17 / 263 » Intelligent Selection of Language Model Training Data |
166
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ML
2002
ACM
15 years 2 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
126
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WACV
2005
IEEE
15 years 8 months ago
2005
IEEE
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
138
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
145
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IJCNN
2008
IEEE
15 years 9 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
121
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EMNLP
2010
15 years 14 days ago
2010
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...