Kernel Based Learning and Application

Gulati, Shantam and Sastry, Challa Subrahmanya (2019) Kernel Based Learning and Application. Masters thesis, Indian institute of technology Hyderabad.

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Abstract

The core objective of the project is to look into classification problems in Machine Learning. The report initially discusses kernel tricks and their application to Support Vector Machine. It then looks into the mathematics behind these techniques and ends with the implementation of the stated methods for ECG signal classification. Towards the end, the report addresses a common problem of insufficient data in such databases and tries to provide a suitable method for classification in such cases.

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IITH Creators:	IITH Creators ORCiD Sastry, Challa Subrahmanya UNSPECIFIED
Item Type:	Thesis (Masters)
Subjects:	Mathematics
Divisions:	Department of Mathematics
Depositing User:	Team Library
Date Deposited:	13 Jun 2019 03:59
Last Modified:	26 Aug 2019 09:01
URI:	http://raiithold.iith.ac.in/id/eprint/5460
Publisher URL:
Related URLs:	Google Scholar

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