High-Performance Parallel Support Vector Machine Training

DOI10.1007/978-0-387-09707-7_7zbMath1183.68117OpenAlexW1554089860MaRDI QIDQ3613503

Jacek Gondzio, Kristian Woodsend

Publication date: 12 March 2009

Published in: Springer Optimization and Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-387-09707-7_7

zbMATH Keywords

dense quadratic optimization problem

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (1)

A wide neighborhood arc-search interior-point algorithm for convex quadratic programming with box constraints and linear constraints

Uses Software

• CONV_QP

Cites Work

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• Exploiting separability in large-scale linear support vector machine training
• Parallel interior-point solver for structured quadratic programs: Application to financial planning problems
• 10.1162/15324430260185619
• A Parallel Mixture of SVMs for Very Large Scale Problems

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