3716 search results - page 42 / 744 » On the monotonization of the training set |
94
Voted
NIPS
2004
15 years 1 months ago
2004
We propose to selectively remove examples from the training set using probabilistic estimates related to editing algorithms (Devijver and Kittler, 1982). This heuristic procedure ...
121
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AUSAI
2008
Springer
15 years 2 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
92
Voted
JIFS
2008
15 years 16 days ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
137
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NAACL
2001
15 years 1 months ago
2001
We propose a novel Co-Training method for statistical parsing. The algorithm takes as input a small corpus (9695 sentences) annotated with parse trees, a dictionary of possible le...
ACL
2008
15 years 2 months ago
2008
Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here ...