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» Support vector machine for functional data classification
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EMO
2009
Springer
147views Optimization» more  EMO 2009»
15 years 11 months ago
Application of MOGA Search Strategy to SVM Training Data Selection
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Mik...
HICSS
1998
IEEE
176views Biometrics» more  HICSS 1998»
15 years 9 months ago
Intelligent System for Reading Handwriting on Forms
The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain soft...
Michael D. Garris
LWA
2008
15 years 6 months ago
Determining the Polarity of Postings for Discussion Search
When performing discussion search it might be desirable to consider non-topical measures like the number of positive and negative replies to a posting, for instance as one possibl...
Ingo Frommholz, Marc Lechtenfeld
AE
2007
Springer
15 years 11 months ago
A Study of Crossover Operators for Gene Selection of Microarray Data
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
Jose Crispin Hernandez Hernandez, Béatrice ...
154
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CIBCB
2005
IEEE
15 years 10 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao