5236 search results - page 315 / 1048 » Similarity Measurement in Context |
159
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NLDB
2010
Springer
15 years 10 months ago
2010
Springer
Analysis of blogpost writings is an important and growing research area. Both objective and subjective characteristics of a writer are detected. Words have word meaning that is com...
173
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CAISE
2006
Springer
15 years 10 months ago
2006
Springer
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
162
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COLING
2000
15 years 8 months ago
2000
In this paper we address the problem of discovering word semantic similarities via statistical processing of text corpora. We propose a knowledge-poor method that exploits the sen...
188
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INCDM
2010
Springer
15 years 5 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
228
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JMLR
2012
13 years 9 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...