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186
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SIGIR
2004
ACM
16 years 3 days ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
185
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NIPS
2004
15 years 8 months ago
2004
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
196
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ML
2000
ACM
15 years 6 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
155
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COLT
2005
Springer
16 years 6 days ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
177
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ACCV
1998
Springer
15 years 11 months ago
1998
Springer
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...