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127
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ECML
2006
Springer
15 years 7 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
125
Voted
CIA
1999
Springer
15 years 7 months ago
GETESS - Searching the Web Exploiting German Texts
Abstract. We present an intelligent information agent that uses semantic methods and natural language processing capabilites in order to gather tourist information from the WWW and...
Steffen Staab, Christian Braun, Ilvio Bruder, Antj...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 6 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park
189
Voted
JCDL
2011
ACM
272views Education» more  JCDL 2011»
14 years 6 months ago
CollabSeer: a search engine for collaboration discovery
Collaborative research has been increasingly popular and important in academic circles. However, there is no open platform available for scholars or scientists to effectively dis...
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde ...
133
Voted
WWW
2008
ACM
16 years 4 months ago
Extracting XML schema from multiple implicit xml documents based on inductive reasoning
We propose a method of classifying XML documents and extracting XML schema from XML by inductive inference based on constraint logic programming. The goal of this work is to type ...
Masaya Eki, Tadachika Ozono, Toramatsu Shintani