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Kernel-Based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining

Kernel-Based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining

Paperback

Series: Studies in Computational Intelligence, Book 345

Technology & EngineeringGeneral ComputersGeneral Science

ISBN10: 3642267513
ISBN13: 9783642267512
Publisher: Springer Nature
Published: Apr 21 2013
Pages: 214
Weight: 0.72
Height: 0.52 Width: 6.08 Depth: 9.15
Language: English
Introduction.- Rayleigh quotient-type problems in machine learning.- Ln-norm Multiple Kernel Learning and Least Squares Support VectorMachines.- Optimized data fusion for kernel k-means Clustering.- Multi-view text mining for disease gene prioritization and clustering.- Optimized data fusion for k-means Laplacian Clustering.- Weighted Multiple Kernel Canonical Correlation.- Cross-species candidate gene prioritization with MerKator.- Conclusion.

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