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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Novel Ensemble Algorithm for Tumor Classification
verfasst von : Zhan-Li Sun, Han Wang, Wai-Shing Lau, Gerald Seet, Danwei Wang, Kin-Man Lam
Erschienen in: Advances in Neural Networks – ISNN 2013
Verlag: Springer Berlin Heidelberg
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From the viewpoint of image processing, a spectral feature-based TLS (Tikhonov-regularized least-squares) ensemble algorithm is proposed for tumor classification using gene expression data. In the TLS model, a test sample is represented as a linear combination of atoms of an overcomplete dictionary. Two types of dictionaries, spectral feature-based eigenassays and spectral feature-based metasamples, are proposed for the TLS model. Experimental results on standard databases demonstrate the feasibility and effectiveness of the proposed method.