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Using Graph-based Metrics with Empirical Risk Minimization to Speed Up Active Learning on Networked Data
Sofus A Macskassy
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Oznake: computer science;data mining;multi-relational mining
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised learning algorithm that uses Gaussian fields and harmonic functions. This classifier is relational in nature: it relies on h ...
Leto: 2009 Vir: videolectures.net
Concluding Session
Sofus Attila Macskassy , Thorsten Joachims , Geoff Webb
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
Leto: 2014 Vir: videolectures.net
Št. zadetkov: 2
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