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» Feature Selection and Effective Classifiers
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CVPR
2005
IEEE
14 years 11 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
BMCBI
2007
104views more  BMCBI 2007»
13 years 9 months ago
Using contextual and lexical features to restructure and validate the classification of biomedical concepts
Background: Biomedical ontologies are critical for integration of data from diverse sources and for use by knowledge-based biomedical applications, especially natural language pro...
Jung-Wei Fan, Hua Xu, Carol Friedman
BMCBI
2005
121views more  BMCBI 2005»
13 years 8 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
HIS
2004
13 years 10 months ago
Classification Ensembles for Shaft Test Data: Empirical Evaluation
: A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
Kyungmi Lee, Vladimir Estivill-Castro
ICPR
2010
IEEE
13 years 6 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Moncef Gabbouj