Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions

Nuha Zamzami; Rua Alsuroji; Oboh Eromonsele; Nizar Bouguila

doi:10.1111/coin.12246

Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions

Computational Intelligence ◽

10.1111/coin.12246 ◽

2020 ◽

Vol 36 (2) ◽

pp. 459-485 ◽

Cited By ~ 1

Author(s):

Nuha Zamzami ◽

Rua Alsuroji ◽

Oboh Eromonsele ◽

Nizar Bouguila

Keyword(s):

Data Modeling ◽

Finite Mixture ◽

Dirichlet Distributions ◽

Proportional Data

A Dirichlet Process Mixture of Generalized Dirichlet Distributions for Proportional Data Modeling

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2009.2034851 ◽

2010 ◽

Vol 21 (1) ◽

pp. 107-122 ◽

Cited By ~ 53

Author(s):

N. Bouguila ◽

D. Ziou

Keyword(s):

Dirichlet Process ◽

Data Modeling ◽

Dirichlet Process Mixture ◽

Dirichlet Distributions ◽

Proportional Data ◽

Generalized Dirichlet

Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling

Advanced Information Systems Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-319-11656-3_7 ◽

2014 ◽

pp. 71-82 ◽

Cited By ~ 2

Author(s):

Elise Epaillard ◽

Nizar Bouguila

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Data Modeling ◽

Dirichlet Mixtures ◽

Proportional Data ◽

Generalized Dirichlet

Proportional data modeling via entropy-based variational bayes learning of mixture models

Applied Intelligence ◽

10.1007/s10489-017-0909-0 ◽

2017 ◽

Vol 47 (2) ◽

pp. 473-487 ◽

Cited By ~ 7

Author(s):

Wentao Fan ◽

Faisal R. Al-Osaimi ◽

Nizar Bouguila ◽

Jixiang Du

Keyword(s):

Mixture Models ◽

Data Modeling ◽

Variational Bayes ◽

Proportional Data

A Novel Finite Mixture Model for Count Data Modeling

2007 IEEE International Conference on Signal Processing and Communications ◽

10.1109/icspc.2007.4728244 ◽

2007 ◽

Cited By ~ 3

Author(s):

Nizar Bouguila

Keyword(s):

Mixture Model ◽

Count Data ◽

Data Modeling ◽

Finite Mixture Model ◽

Finite Mixture

Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas

Pattern Recognition ◽

10.1016/j.patcog.2016.02.004 ◽

2016 ◽

Vol 55 ◽

pp. 125-136 ◽

Cited By ~ 16

Author(s):

Elise Epaillard ◽

Nizar Bouguila

Keyword(s):

Anomaly Detection ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Data Modeling ◽

Public Areas ◽

Proportional Data ◽

Generalized Dirichlet

Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning–Based Text Recognition

Journal of Infrastructure Systems ◽

10.1061/(asce)is.1943-555x.0000553 ◽

2020 ◽

Vol 26 (3) ◽

pp. 04020018

Author(s):

Saeed Moradi ◽

Tarek Zayed ◽

Fuzhan Nasiri ◽

Farzaneh Golkhoo

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Data Modeling ◽

Text Recognition ◽

Proportional Data ◽

Detection And Localization ◽

Sewer Inspection

Hybrid Generative/Discriminative Approaches for Proportional Data Modeling and Classification

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2011.162 ◽

2012 ◽

Vol 24 (12) ◽

pp. 2184-2202 ◽

Cited By ~ 46

Author(s):

Nizar Bouguila

Keyword(s):

Data Modeling ◽

Proportional Data

An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling

Information and Communication Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-55032-4_29 ◽

2014 ◽

pp. 296-305 ◽

Cited By ~ 1

Author(s):

Nizar Bouguila ◽

Mohamed Al Mashrgy

Keyword(s):

Mixture Model ◽

Data Modeling ◽

High Dimensional ◽

Dirichlet Distributions ◽

Positive Data ◽

Infinite Mixture Model ◽

Inverted Dirichlet

Supplemental Material for Resolving the Latent Structure of Schizophrenia Endophenotypes Using Expectation-Maximization-Based Finite Mixture Modeling

Journal of Abnormal Psychology ◽

10.1037/0021-843x.116.1.16.supp ◽

2007 ◽

Keyword(s):

Expectation Maximization ◽

Mixture Modeling ◽

Finite Mixture ◽

Latent Structure ◽

Finite Mixture Modeling

Controlling in der Produktentwicklung

Controlling ◽

10.15358/0935-0381-2020-3-45 ◽

2020 ◽

Vol 32 (3) ◽

pp. 45-50

Author(s):

Marc Janka

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Finite Mixture

Gemeinhin gilt die Annahme, dass das Controlling für viele deutsche Unternehmen auch oder besonders in der Produktentwicklung von großer Bedeutung ist und vor allem unter Umfeldunsicherheit ein wesentlicher Erfolgsfaktor sein kann. Der vorliegende Beitrag zeigt unter Anwendung einer für die Controlling-Forschung neuartigen Methode zur Schätzung von Mischverteilungen mittels partieller Regressionen (englisch finite mixture partial least squares [FIMIX-PLS]), ob diese Annahme für alle Unternehmen gleichermaßen gilt.