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» Learning to rank on graphs
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JSS
2006
112views more  JSS 2006»
14 years 9 months ago
Generalized comparison of graph-based ranking algorithms for publications and authors
Citation analysis helps in evaluating the impact of scientific collections (journals and conferences), publications and scholar authors. In this paper we examine known algorithms ...
Antonis Sidiropoulos, Yannis Manolopoulos
AIRS
2005
Springer
15 years 3 months ago
Calculating Webpage Importance with Site Structure Constraints
PageRank is one of the most popular link analysis algorithms that have shown their effectiveness in web search. However, PageRank only consider hyperlink information. In this paper...
Hui-Min Yan, Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, ...
ICML
2006
IEEE
15 years 10 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel
MM
2006
ACM
148views Multimedia» more  MM 2006»
15 years 3 months ago
Audio similarity measure by graph modeling and matching
This paper proposes a new approach for the similarity measure and ranking of audio clips by graph modeling and matching. Instead of using frame-based or salient-based features to ...
Yuxin Peng, Chong-Wah Ngo, Cuihua Fang, Xiaoou Che...
NIPS
2004
14 years 11 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...