2714 search results - page 266 / 543 » Machine Learning for Information Extraction |
147
Voted
TKDE
2010
15 years 1 months ago
2010
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
141
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
133
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ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
119
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
121
Voted
ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...