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https://hdl.handle.net/10356/106080
Title: | A novel ensemble algorithm for tumor classification | Authors: | Sun, Zhan-Li Wang, Han Lau, Wai-Shing Seet Gim Lee, Gerald Wang, Danwei Lam, Kin-Man |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2013 | Source: | Sun, Z.-L., Wang, H., Lau, W.-S., Seet, G. L. G., Wang, D., & Lam, K.-M. (2013). A novel ensemble algorithm for tumor classification. 10th International Symposium on Neural Networks, 7952, 292-298. | Conference: | International Symposium on Neural Networks (10th : 2013 : Dalian, China) | Abstract: | 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. | URI: | https://hdl.handle.net/10356/106080 http://hdl.handle.net/10220/17966 |
DOI: | 10.1007/978-3-642-39068-5_36 | Schools: | School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering |
Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Conference Papers |
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