Reference : Constrained bayesian active learning of linear classifier

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/38164

Title :	Constrained bayesian active learning of linear classifier
Language :	English
Author, co-author :	Tsakmalis, Anestis [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2018
Main document title :	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-5386-4658-8
Event name :	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event date :	15-04-2018 to 20-04-2018
Event place (city) :	Calgary
Event country :	Canada
Abstract :	[en] In this paper, an on-line interactive method is proposed for learning a linear classifier. This problem is studied within the Active Learning (AL) framework where the learning algorithm sequentially chooses unlabelled training samples and requests their class labels from an oracle in order to learn the classifier with the least queries to the oracle possible. Additionally' a constraint is introduced into this interactive learning process which limits the percentage of the samples from one “unwanted” class under a certain threshold. An optimal AL solution is derived and implemented with a sophisticated, accurate and fast Bayesian Learning method, the Expectation Propagation (EP) and its performance is demonstrated through numerical simulations.
Permalink :	http://hdl.handle.net/10993/38164
DOI :	10.1109/ICASSP.2018.8461409
Framework Programme / European Project :	H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems

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	Fulltext file(s): File Commentary Version Size Access Open access ICASSP_2018 author postprint.pdf Author postprint 8.43 MB View/Open

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