392 search results - page 22 / 79 » Selecting a Relevant Set of Examples to Learn IE-Rules |
ICML
2005
IEEE
16 years 17 days ago
2005
IEEE
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
128
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CVPR
2007
IEEE
15 years 3 months ago
2007
IEEE
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
120
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JMLR
2011
14 years 6 months ago
2011
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
105
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CORR
2011
Springer
14 years 3 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
100
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JMLR
2010
14 years 6 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...