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Consensus-based distributed linear support vector machines

PROCEEDINGS ARTICLE published 12 April 2010 in Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks

Research funded by Division of Computing and Communication Foundations (CCF 0830480CON 014658) | U.S. Army Research Laboratory (Cooperative Agreement DAAD19-01-2-0011) | National Science Foundation (CCF 0830480CON 014658)

Authors: Pedro A. Forero | Alfonso Cano | Georgios B. Giannakis

Convergence analysis of consensus-based distributed clustering

PROCEEDINGS ARTICLE published 2010 in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing

Authors: Pedro A. Forero | Alfonso Cano | Georgios B. Giannakis

Consensus-based distributed expectation-maximization algorithm for density estimation and classification using wireless sensor networks

PROCEEDINGS ARTICLE published March 2008 in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing

Authors: Pedro A. Forero | Alfonso Cano | Georgios B. Giannakis

Sample selection based on maximum entropy for support vector machines

PROCEEDINGS ARTICLE published July 2010 in 2010 International Conference on Machine Learning and Cybernetics

Authors: Ran Wang | Sam Kwong

Distributed feature-based modulation classification using wireless sensor networks

PROCEEDINGS ARTICLE published November 2008 in MILCOM 2008 - 2008 IEEE Military Communications Conference

Authors: Pedro A. Forero | Alfonso Cano | Georgios B. Giannakis

Support vector machine-based fuzzy self-learning control for induction machines

PROCEEDINGS ARTICLE published June 2010 in 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering

Distributed consensus-based demodulation: algorithms and error analysis

JOURNAL ARTICLE published June 2010 in IEEE Transactions on Wireless Communications

Authors: Hao Zhu | Alfonso Cano | Georgios Giannakis

Support vector machines

BOOK CHAPTER published 17 April 2014 in Kernel Methods and Machine Learning

Support Vector Machines

BOOK CHAPTER published 23 March 2000 in An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Support Vector Machines

BOOK CHAPTER published 23 March 2011 in Machine Learning

Applications of Support Vector Machines in Bioinformatics and Network Security

BOOK CHAPTER published 1 February 2010 in Application of Machine Learning

Authors: Rehan Akbani | Turgay Korkmaz

Applications of Support Vector Machines

BOOK CHAPTER published 23 March 2000 in An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Application of Lagrangian Twin Support Vector Machines for Classification

PROCEEDINGS ARTICLE published 2010 in 2010 Second International Conference on Machine Learning and Computing

Authors: S. Balasundaram | N. Kapil

Support Vector Machines

BOOK CHAPTER published 19 May 2014 in Understanding Machine Learning

5. Support vector machines

BOOK CHAPTER published 5 May 2020 in Machine Learning and Visual Perception

Maize Variety Identification Based on Support Vector Machines

JOURNAL ARTICLE published 16 December 2021 in Machine Learning Theory and Practice

Support vector machines and variants

BOOK CHAPTER published 17 April 2014 in Kernel Methods and Machine Learning

Support Vector Machines

BOOK CHAPTER published 2023 in Classical Machine Learning Model Building

Authors: Poornachandra Sarang

Face Detection Based on Cascading Support Vector Machines

JOURNAL ARTICLE published 9 December 2022 in Machine Learning Theory and Practice

Supervised Learning—Classification Using Support Vector Machines

OTHER published 30 April 2019 in Python® Machine Learning