On Coresets for Support Vector Machines

TAMC, pp. 287-299, 2020.

Cited by: 1|Bibtex|Views20|DOI:https://doi.org/10.1007/978-3-030-59267-7_25
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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

We present an efficient coreset construction algorithm for large-scale Support Vector Machine (SVM) training in Big Data and streaming applications. A coreset is a small, representative subset of the original data points such that a models trained on the coreset are provably competitive with those trained on the original data set. Since...More

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