1553 search results - page 182 / 311 » Learning from Multiple Sources of Inaccurate Data |
108
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
113
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ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
134
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IDA
2007
Springer
15 years 3 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
133
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
174
Voted
MT
2007
15 years 3 months ago
2007
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...