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ISTA
2003
15 years 2 months ago
Support Vector Machine Parameter Optimization for Text Categorization Problems
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
Mikhail S. Ageev, Boris V. Dobrov
CGF
2010
174views more  CGF 2010»
15 years 1 months ago
Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization
The Bidirectional Texture Function (BTF) is becoming widely used for accurate representation of real-world material appearance. In this paper a novel BTF compression model is prop...
Vlastimil Havran, J. Filip, Karol Myszkowski
JMLR
2006
124views more  JMLR 2006»
15 years 1 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
CAINE
2007
15 years 2 months ago
A Novel Peak Detection Algorithm for Use in the Study of Machining Chip Segmentation
The study of how metal deforms and flows as parts are machined yields important insights into the metal cutting process. Improvements in high-speed digital imaging and image proce...
Eric Whitenton, Robert Ivester, Jarred Heigel
BMCBI
2008
88views more  BMCBI 2008»
15 years 1 months ago
Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
Myron Peto, Andrzej Kloczkowski, Vasant Honavar, R...