358 search results - page 31 / 72 » Learning from labeled and unlabeled data on a directed graph |
156
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ICML
2003
IEEE
16 years 18 days ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
ICDM
2008
IEEE
15 years 6 months ago
2008
IEEE
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
16 years 10 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...
109
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ICB
2009
Springer
15 years 6 months ago
2009
Springer
Biometric authentication using mobile devices is becoming a convenient and important means to secure access to remote services such as telebanking and electronic transactions. Such...
100
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EDBT
2006
ACM
15 years 12 months ago
2006
ACM
The need of processing graph reachability queries stems from many applications that manage complex data as graphs. The applications include transportation network, Internet traffic...