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» Learning to rank on graphs
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CAV
2009
Springer
181views Hardware» more  CAV 2009»
16 years 2 months ago
Size-Change Termination, Monotonicity Constraints and Ranking Functions
Abstract. Size-change termination involves deducing program termination based on the impossibility of infinite descent. To this end we may use m abstraction in which transitions ar...
Amir M. Ben-Amram
WWW
2007
ACM
16 years 2 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
WAW
2004
Springer
150views Algorithms» more  WAW 2004»
15 years 7 months ago
Do Your Worst to Make the Best: Paradoxical Effects in PageRank Incremental Computations
d Abstract) Paolo Boldi† Massimo Santini‡ Sebastiano Vigna∗ Deciding which kind of visit accumulates high-quality pages more quickly is one of the most often debated issue i...
Paolo Boldi, Massimo Santini, Sebastiano Vigna
FAW
2008
Springer
104views Algorithms» more  FAW 2008»
15 years 3 months ago
Ranking of Closeness Centrality for Large-Scale Social Networks
Abstract. Closeness centrality is an important concept in social network analysis. In a graph representing a social network, closeness centrality measures how close a vertex is to ...
Kazuya Okamoto, Wei Chen, Xiang-Yang Li
EJC
2008
15 years 2 months ago
A classification of finite partial linear spaces with a primitive rank 3 automorphism group of grid type
A partial linear space is a non-empty set of points, provided with a collection of subsets called lines such that any pair of points is contained in at most one line and every lin...
Alice Devillers