239 search results - page 2 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
126
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ACL
2009
14 years 10 months ago
2009
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
122
Voted
ICASSP
2010
IEEE
15 years 29 days ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
102
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NIPS
2007
15 years 2 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
137
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ICCV
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
110
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ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...