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» Learning to rank on graphs
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BMCBI
2008
91views more  BMCBI 2008»
14 years 10 months ago
PageRank without hyperlinks: Reranking with PubMed related article networks for biomedical text retrieval
Background: Graph analysis algorithms such as PageRank and HITS have been successful in Web environments because they are able to extract important inter-document relationships fr...
Jimmy J. Lin
MP
2006
81views more  MP 2006»
14 years 9 months ago
Almost all webs are not rank-perfect
Graphs with circular symmetry, called webs, are relevant w.r.t. describing the stable set polytopes of two larger graph classes, quasi-line graphs [8,12] and claw-free graphs [7,8]...
Arnaud Pêcher, Annegret Wagler
ICML
2006
IEEE
15 years 10 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
WIDM
2005
ACM
15 years 3 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...
BPM
2009
Springer
138views Business» more  BPM 2009»
15 years 4 months ago
Graph Matching Algorithms for Business Process Model Similarity Search
We investigate the problem of ranking all process models in a repository according to their similarity with respect to a given process model. We focus specifically on the applicat...
Remco M. Dijkman, Marlon Dumas, Luciano Garc&iacut...