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ACL
2009
15 years 1 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
ICDAR
2009
IEEE
15 years 10 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
SEAA
2008
IEEE
15 years 9 months ago
Towards Efficient Software Component Evaluation: An Examination of Component Selection and Certification
When software systems incorporate existing software components, there is a need to evaluate these components. Component evaluation is of two kinds according to literature: compone...
Rikard Land, Alexandre Alvaro, Ivica Crnkovic
140
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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 4 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
ICDAR
2009
IEEE
15 years 1 months ago
Prototype Selection for Handwritten Connected Digits Classification
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...