A dynamic system framework for the decomposition method solving Support Vector Machines

Lai, Daniel; Mani, N; Paianiswami, M

A dynamic system framework for the decomposition method solving Support Vector Machines

https://hdl.handle.net/10779/DRO/DU:27184368

conference contribution

posted on 2024-10-10, 04:25 authored by Daniel LaiDaniel Lai, N Mani, M Paianiswami

A dynamic system framework for the decomposition method solving Support Vector Machines

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DOI - Is version of https://doi.org/10.1109/ISSNIP.2004.1417476

Location

Melbourne, Victoria

Open access

No

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Palaniswami M, Krishnamachari B, Challa S

Pagination

283-288

Start date

2004-12-14

End date

2004-12-17

ISBN-10

0-7803-8893-3

Title of proceedings

ISSNIP 2004 : Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference

Event

Intelligent Sensors, Sensor Networks and Information Processing. Conference (2004 : Melbourne, Victoria)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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Keywords

Computer Science Computer Science, Artificial Intelligence CONVERGENCE Engineering Engineering, Electrical & Electronic Remote Sensing Science & Technology Technology Telecommunications

A dynamic system framework for the decomposition method solving Support Vector Machines

History

Related Materials

Location

Open access

Language

Publication classification

Editor/Contributor(s)

Pagination

Start date

End date

ISBN-10

Title of proceedings

Event

Publisher

Place of publication

Usage metrics

Categories

Keywords

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