Probabilistic Classification Vector Machine at large scale

Frank Michael Schleif; Andrej Gisbrecht; Peter Tino

Probabilistic Classification Vector Machine at large scale

Frank Michael Schleif, Andrej Gisbrecht, Peter Tino

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Probabilistic kernel classifiers are effective approaches to solve classification problems but only few of them can be applied to indefinite kernels as typically observed in life science problems and are often limited to rather small scale problems. We provide a novel batch formulation of the Probabilistic Classification Vector Machine for large scale metric and non-metric data.

Original language	English
Title of host publication	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings
Publisher	i6doc.com
Pages	555-560
Number of pages	6
ISBN (Electronic)	9782875870148
Publication status	Published - 2015
Event	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Bruges, Belgium Duration: 22 Apr 2015 → 24 Apr 2015

Conference

Conference	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015
Country/Territory	Belgium
City	Bruges
Period	22/04/15 → 24/04/15

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Cite this

@inproceedings{998492d77a9946c3b3a420e4c93cd0e3,

title = "Probabilistic Classification Vector Machine at large scale",

abstract = "Probabilistic kernel classifiers are effective approaches to solve classification problems but only few of them can be applied to indefinite kernels as typically observed in life science problems and are often limited to rather small scale problems. We provide a novel batch formulation of the Probabilistic Classification Vector Machine for large scale metric and non-metric data.",

author = "Schleif, {Frank Michael} and Andrej Gisbrecht and Peter Tino",

year = "2015",

language = "English",

pages = "555--560",

booktitle = "23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings",

publisher = "i6doc.com",

note = "23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 ; Conference date: 22-04-2015 Through 24-04-2015",

}

Schleif, FM, Gisbrecht, A & Tino, P 2015, Probabilistic Classification Vector Machine at large scale. in 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com, pp. 555-560, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, Bruges, Belgium, 22/04/15.

TY - GEN

T1 - Probabilistic Classification Vector Machine at large scale

AU - Schleif, Frank Michael

AU - Gisbrecht, Andrej

AU - Tino, Peter

PY - 2015

Y1 - 2015

N2 - Probabilistic kernel classifiers are effective approaches to solve classification problems but only few of them can be applied to indefinite kernels as typically observed in life science problems and are often limited to rather small scale problems. We provide a novel batch formulation of the Probabilistic Classification Vector Machine for large scale metric and non-metric data.

AB - Probabilistic kernel classifiers are effective approaches to solve classification problems but only few of them can be applied to indefinite kernels as typically observed in life science problems and are often limited to rather small scale problems. We provide a novel batch formulation of the Probabilistic Classification Vector Machine for large scale metric and non-metric data.

UR - http://www.scopus.com/inward/record.url?scp=84961775789&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84961775789

SP - 555

EP - 560

BT - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings

PB - i6doc.com

T2 - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015

Y2 - 22 April 2015 through 24 April 2015

ER -

Probabilistic Classification Vector Machine at large scale

Abstract

Conference

ASJC Scopus subject areas

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Cite this