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» Semi-Supervised Support Vector Machines
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ICPR
2002
IEEE
14 years 1 months ago
Tangent Distance Kernels for Support Vector Machines
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
Bernard Haasdonk, Daniel Keysers
ICANN
2001
Springer
14 years 1 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
NLPRS
2001
Springer
14 years 1 months ago
Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines
The accuracy of part-of-speech (POS) tagging for unknown words is substantially lower than that for known words. Considering the high accuracy rate of up-to-date statistical POS t...
Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto
CICLING
2006
Springer
14 years 19 days ago
Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with...
Davide Buscaldi, Paolo Rosso, Ferran Pla, Encarna ...
IFIP12
2007
13 years 10 months ago
Patient Fall Detection using Support Vector Machines
This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accel...
Charalampos Doukas, Ilias Maglogiannis, Philippos ...