A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification

Author:

Bosin Andrea,Dessì Nicoletta,Pes Barbara

Publisher

Springer Berlin Heidelberg

Reference32 articles.

1. Turney P.D.: Types of cost in inductive concept learning, Workshop on Cost-Sensitive Learning, ICML 2000, Stanford, pp. 15–21 (2000)

2. Liu, H., Li, J., Wong, L.: A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles and Proteomic Patterns. Genome informatics 13, 51–60 (2002)

3. Tao, L., Zhang, C., Ogihara, M.: A Comparative Study on Feature Selection and Multiclass Classification Methods for tissue classification based on gene expression. Bioinformatics 20(15), 2429–2437 (2004)

4. Lecture Notes in Artificial Intelligence;A. Bosin,2006

5. Bosin, A., Dessi, N., Pes, B.: Learning Classifiers for High-Dimensional Micro-Array Data. In: Bosin, A. (ed.) Applied Artificial Intelligence. Proc. of the 7th International FLINS Conference, Genova, Italy, August 29-31, 2006, pp. 29–31. World Scientific, Singapore (2006)

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1. Resource Provisioning for e-Science Environments;International Journal of Grid and High Performance Computing;2013-01

2. A Framework for Multi-class Learning in Micro-array Data Analysis;Artificial Intelligence in Medicine;2009

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