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» Learning with Rigorous Support Vector Machines
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CIKM
2008
Springer
14 years 11 months ago
The role of syntactic features in protein interaction extraction
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
ICONIP
2008
14 years 11 months ago
A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition
Abstract. Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make the...
Dingyun Zhu, B. Sumudu U. Mendis, Tom Gedeon, Aksh...
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ACL
2003
14 years 11 months ago
Fast Methods for Kernel-Based Text Analysis
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Taku Kudo, Yuji Matsumoto
DATAMINE
2006
157views more  DATAMINE 2006»
14 years 9 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
IJIS
2008
123views more  IJIS 2008»
14 years 9 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto