221 search results - page 24 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
16 years 7 days ago
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
106
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CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
110
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CIKM
2011
Springer
13 years 11 months ago
2011
Springer
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
101
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KDD
2009
ACM
16 years 7 days ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
112
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ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
16 years 15 days ago
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...