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  • 10:53 AM, Friday, 24 Jan 2020


Course Postgraduate
Semester Electives
Subject Code MA871
Subject Title Advanced Kernel Methods

Syllabus

Theory of reproducing kernel Hilbert space, support vector machines, kernel ridge regression, kernel feature extraction, kernel online learning, Bayesian kernel methods, graph kernels, kernels for text, kernels for structured data.

Text Books
References

1. Bishop, C. M., Pattern Recognition and Machine Learning, Springer (2006).
2. Cristianini, N. and Shawe-Taylor, J., An Introduction to Support Vector Machines and other
kernel-based methods, Cambridge Univ. Press (2000).
3. Scholkopf, B. and Smola, A. J., Learning with Kernels: Support Vector Machines, Regu-
larization, Optimization, and Beyond, The MIT Press (2001).
4. Shawe-Taylor, J. and Cristianini, N., Kernel Methods for Pattern Analysis, Cambridge Univ. Press
(2004).