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» A Portfolio Approach to Algorithm Selection
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TOOLS
2000
IEEE
15 years 7 months ago
Testing-for-Trust: The Genetic Selection Model Applied to Component Qualification
This paper presents a method and a tool for building trustable OO components. The methodology is based on an integrated design and test approach for OO software components. It is ...
Benoit Baudry, Vu Le Hanh, Yves Le Traon
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 8 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
BMCBI
2005
190views more  BMCBI 2005»
15 years 2 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
ICCV
2009
IEEE
16 years 8 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
ICIP
2009
IEEE
15 years 23 days ago
Selecting representative and distinctive descriptors for efficient landmark recognition
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Sheng Gao, Joo-Hwee Lim