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» Approximation Methods for Supervised Learning
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78
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ACL
2009
14 years 10 months ago
Accurate Learning for Chinese Function Tags from Minimal Features
Data-driven function tag assignment has been studied for English using Penn Treebank data. In this paper, we address the question of whether such method can be applied to other la...
Caixia Yuan, Fuji Ren, Xiaojie Wang
103
Voted
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
16 years 26 days ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...
153
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DATAMINE
2010
161views more  DATAMINE 2010»
14 years 10 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
94
Voted
CIKM
2011
Springer
14 years 13 days ago
Toward interactive training and evaluation
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Gregory Druck, Andrew McCallum
100
Voted
CORR
2008
Springer
100views Education» more  CORR 2008»
15 years 16 days ago
Learning Isometric Separation Maps
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...