Fixed-size least squares support vector machines: Scala implementation for large scale classification

Mandar Chandorkar, RaghvenPhDa Mall, Oliver Lauwers, Johan A.K. Suykens, Bart De Moor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We propose FS-Scala, a flexible and modular Scala based implementation of the Fixed Size Least Squares Support Vector Machine (FS-LSSVM) for large data sets. The framework consists of a set of modules for (gradient and gradient free) optimization, model representation, kernel functions and evaluation of FS-LSSVM models. A kernel based Fixed-Size Least Squares Support Vector Machine (FS-LSSVM) model is implemented in the proposed framework, while heavily leveraging the parallel computing capabilities of Apache Spark. Global optimization routines like Coupled Simulated Annealing (CSA) and Grid Search are implemented and used to tune the hyper-parameters of the FS-LSSVM model. Finally, we carry out experiments on benchmark data sets and evaluate the performance of various kernel based FS-LSSVM models.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages522-528
Number of pages7
ISBN (Electronic)9781479975600
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
EventIEEE Symposium Series on Computational Intelligence, SSCI 2015 - Cape Town, South Africa
Duration: 8 Dec 201510 Dec 2015

Other

OtherIEEE Symposium Series on Computational Intelligence, SSCI 2015
CountrySouth Africa
CityCape Town
Period8/12/1510/12/15

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ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Chandorkar, M., Mall, R., Lauwers, O., Suykens, J. A. K., & De Moor, B. (2015). Fixed-size least squares support vector machines: Scala implementation for large scale classification. In Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 (pp. 522-528). [7376656] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2015.83