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» Learning to rank on graphs
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WWW
2006
ACM
16 years 6 months ago
BuzzRank ... and the trend is your friend
Ranking methods like PageRank assess the importance of Web pages based on the current state of the rapidly evolving Web graph. The dynamics of the resulting importance scores, how...
Klaus Berberich, Srikanta J. Bedathur, Michalis Va...
COLING
2008
15 years 7 months ago
PNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization
Query-oriented update summarization is an emerging summarization task very recently. It brings new challenges to the sentence ranking algorithms that require not only to locate th...
Wenjie Li, Furu Wei, Qin Lu, Yanxiang He
COLING
2008
15 years 7 months ago
Rank Distance as a Stylistic Similarity
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture ...
Marius Popescu, Liviu Petrisor Dinu
ISCI
2007
170views more  ISCI 2007»
15 years 6 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
GBRPR
2007
Springer
15 years 10 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...