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On-line mixture-based alternative to logistic regression

SYSNO ASEP	0464463
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	On-line mixture-based alternative to logistic regression
Author(s)	Nagy, Ivan (UTIA-B)_{RID, ORCID} Suzdaleva, Evgenia (UTIA-B)_{RID, ORCID}
Number of authors	2
Source Title	Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552 Roč. 26, č. 5 (2016), s. 417-437
Number of pages	20 s.
Publication form	Online - E
Language	eng - English
Country	CZ - Czech Republic
Keywords	on-line modeling ; on-line logistic regression ; recursive mixture estimation ; data dependent pointer
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	GA15-03564S GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
UT WOS	000388307600001
EID SCOPUS	85020286021
DOI	10.14311/NNW.2016.26.024
Annotation	The paper deals with a problem of modeling discrete variables depending on continuous variables. This problem is known as the logistic regression estimated by numerical methods. The paper approaches the problem via the recursive Bayesian estimation of mixture models with the purpose of exploring a possibility of constructing the continuous data dependent switching model that should be estimated on-line. Here the model of the discrete variable dependent on continuous data is represented as the model of the mixture pointer dependent on data from mixture components via their parameters, which switch according to the activity of the components. On-line estimation of the data dependent pointer model has a great potential for tasks of clustering and classification. The specific subproblems include (i) the model parameter estimation both of the pointer and of the components obtained during the learning phase, and (ii) prediction of the pointer value during the testing phase.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2017

Number of the records: 1