843 search results - page 87 / 169 » Learning aspect models with partially labeled data |
129
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KDD
2002
ACM
16 years 4 months ago
2002
ACM
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
155
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
142
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ICIP
2007
IEEE
15 years 8 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
126
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AAAI
2010
15 years 5 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
111
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NIPS
2001
15 years 5 months ago
2001
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...