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Learning Partially Observable Markov Model from First Passage Times
Jerome Callut
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Leto: 2007 Vir: videolectures.net
Classification in Graphs using Discriminative Random Walks
Jerome Callut
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Oznake: mathematics;graph theory;computer science;machine learning;supervised learning
This paper describes a novel technique, called D-walks, to tackle semi-supervised classification problems in large graphs. We introduce here a betweenness measure based on passage times during random walks of bounded lengths in the input graph. The class of unlabeled nodes is predicted by maximizing ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 2
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