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» Efficient Support Vector Classifiers for Named Entity Recogn...
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129
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WWW
2010
ACM
15 years 10 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
137
Voted
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 5 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
135
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PR
2006
229views more  PR 2006»
15 years 3 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
ICPR
2004
IEEE
16 years 4 months ago
Direct Condensing: An Efficient Voronoi Condensing Algorithm for Nearest Neighbor Classifiers
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
Takekazu Kato, Toshikazu Wada
142
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FLAIRS
2008
15 years 6 months ago
A Semantic Parser for Neuro-Degenerative Disease Knowledge Discovery
Ever increasing size of the biomedical literature makes tapping into implicit knowledge in scientific literature a necessity for knowledge discovery. In this paper, a semantic par...
I. Burak Ozyurt