125 search results - page 14 / 25 » Combining labeled and unlabeled data with word-class distrib... |
119
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FOIKS
2008
Springer
15 years 6 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
Screen readers, the dominant assistive technology used by visually impaired people to access the Web, function by speaking out the content of the screen serially. Using screen rea...
104
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AAAI
2000
14 years 11 months ago
2000
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
94
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...