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ISNN
2007
Springer
15 years 8 months ago
A Probabilistic Approach to Feature Selection for Multi-class Text Categorization
Abstract. In this paper, we propose a probabilistic approach to feature selection for multi-class text categorization. Specifically, we regard document class and occurrence of eac...
Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isaha...
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
ECIR
2010
Springer
15 years 3 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
CSFW
2002
IEEE
15 years 7 months ago
Strand Spaces and Rank Functions: More than Distant Cousins
The strand spaces model and the rank functions model have both been used successfully to analyse and verify security protocols running on unbounded networks. At first sight, thes...
James Heather
AIRS
2010
Springer
15 years 9 hour ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong