Bayesian top scoring pairs for feature selection

Emre Arslan; Ulisses M. Braga-Neto

doi:10.1109/ACSSC.2017.8335365

Bayesian top scoring pairs for feature selection

Emre Arslan, Ulisses M. Braga-Neto

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

1 Scopus citations

Abstract

We propose a novel feature selection approach based on the Bayesian Top Scoring Pairs (BTSP) method. We compare its performance against well-known feature selection methods, under SVM, k-NN and NB classification rules, by means of an extensive numerical experiment using real gene-expression data sets. Results demonstrate the promise of the BTSP feature selection approach in the analysis of high-dimensional biological data.

Original language	English (US)
Title of host publication	Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Editors	Michael B. Matthews
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	387-391
Number of pages	5
ISBN (Electronic)	9781538618233
DOIs	https://doi.org/10.1109/ACSSC.2017.8335365
State	Published - Jul 2 2017
Externally published	Yes
Event	51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States Duration: Oct 29 2017 → Nov 1 2017

Publication series

Name	Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Volume	2017-October

Conference

Conference	51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Country/Territory	United States
City	Pacific Grove
Period	10/29/17 → 11/1/17

Keywords

Bayesian Top Scoring Pairs
Dimensionality Reduction
Feature Selection

ASJC Scopus subject areas

Control and Optimization
Computer Networks and Communications
Hardware and Architecture
Signal Processing
Biomedical Engineering
Instrumentation

Access to Document

10.1109/ACSSC.2017.8335365

Cite this

Arslan, E., & Braga-Neto, U. M. (2017). Bayesian top scoring pairs for feature selection. In M. B. Matthews (Ed.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (pp. 387-391). Article 8335365 (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.2017.8335365

Bayesian top scoring pairs for feature selection. / Arslan, Emre; Braga-Neto, Ulisses M.
Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. ed. / Michael B. Matthews. Institute of Electrical and Electronics Engineers Inc., 2017. p. 387-391 8335365 (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017; Vol. 2017-October).

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

Arslan, E & Braga-Neto, UM 2017, Bayesian top scoring pairs for feature selection. in MB Matthews (ed.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017., 8335365, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 387-391, 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, Pacific Grove, United States, 10/29/17. https://doi.org/10.1109/ACSSC.2017.8335365

Arslan E, Braga-Neto UM. Bayesian top scoring pairs for feature selection. In Matthews MB, editor, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 387-391. 8335365. (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017). doi: 10.1109/ACSSC.2017.8335365

Arslan, Emre ; Braga-Neto, Ulisses M. / Bayesian top scoring pairs for feature selection. Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. editor / Michael B. Matthews. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 387-391 (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017).

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Bayesian top scoring pairs for feature selection

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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