Bandwidth selection for kernel-based classification

Ofir Lindenbaum; Arie Yeredor; Amir Averbuch

doi:10.1109/ICSEE.2016.7806089

Bandwidth selection for kernel-based classification

Ofir Lindenbaum, Arie Yeredor, Amir Averbuch

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Dimensionality reduction is an essential step in various machine learning tasks. Applying classification algorithms to the reduced space is often more efficient and accurate. We focus on kernel based dimensionality reduction techniques, and propose to set the bandwidth such that a coherent mapping is extracted. The proposed framework is simulated on artificial and real dataset, results show a high correlation between optimal classification rates and the proposed bandwidth.

Original language	English
Title of host publication	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509021529
DOIs	https://doi.org/10.1109/ICSEE.2016.7806089
State	Published - 4 Jan 2017
Externally published	Yes
Event	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel Duration: 16 Nov 2016 → 18 Nov 2016

Publication series

Name	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Conference

Conference	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Country/Territory	Israel
City	Eilat
Period	16/11/16 → 18/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/ICSEE.2016.7806089

Cite this

Lindenbaum, O., Yeredor, A., & Averbuch, A. (2017). Bandwidth selection for kernel-based classification. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 [7806089] (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSEE.2016.7806089

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Lindenbaum, O, Yeredor, A & Averbuch, A 2017, Bandwidth selection for kernel-based classification. in 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016., 7806089, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Eilat, Israel, 16/11/16. https://doi.org/10.1109/ICSEE.2016.7806089

Bandwidth selection for kernel-based classification. / Lindenbaum, Ofir; Yeredor, Arie; Averbuch, Amir.
2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7806089 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Lindenbaum O, Yeredor A, Averbuch A. Bandwidth selection for kernel-based classification. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7806089. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). doi: 10.1109/ICSEE.2016.7806089

Bandwidth selection for kernel-based classification

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