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Kernel-based Data Fusion for Machine Learning

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Cover of 'Kernel-based Data Fusion for Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Rayleigh Quotient-Type Problems in Machine Learning
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    Chapter 3 L n -norm Multiple Kernel Learning and Least Squares Support Vector Machines
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    Chapter 4 Optimized Data Fusion for Kernel k -means Clustering
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    Chapter 5 Multi-view Text Mining for Disease Gene Prioritization and Clustering
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    Chapter 6 Optimized Data Fusion for k -means Laplacian Clustering
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    Chapter 7 Weighted Multiple Kernel Canonical Correlation
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    Chapter 8 Cross-Species Candidate Gene Prioritization with MerKator
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    Chapter 9 Conclusion
Attention for Chapter 7: Weighted Multiple Kernel Canonical Correlation
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