Results 21 to 30 of about 822,611 (252)

Entropy-Based Anomaly Detection for Gaussian Mixture Modeling

Algorithms, 2023
Gaussian mixture modeling is a generative probabilistic model that assumes that the observed data are generated from a mixture of multiple Gaussian distributions. This mixture model provides a flexible approach to model complex distributions that may not
Luca Scrucca
doaj   +1 more source

Porting concepts from DNNs back to GMMs [PDF]

, 2013
Deep neural networks (DNNs) have been shown to outperform Gaussian Mixture Models (GMM) on a variety of speech recognition benchmarks. In this paper we analyze the differences between the DNN and GMM modeling techniques and port the best ideas from the ...
Demuynck, Kris, Triefenbach, Fabian
core   +1 more source

Grouping influences output interference in short-term memory: a mixture modeling study

Frontiers in Psychology, 2016
Output interference is a source of forgetting induced by recalling. We investigated how grouping influences output interference in short-term memory. In Experiment 1, the participants were asked to remember four colored items. Those items were grouped by
Min-Suk eKang, Min-Suk eKang, Byung-Il eOh   +2 more
doaj   +1 more source

Location Dependent Dirichlet Processes

, 2017
Dirichlet processes (DP) are widely applied in Bayesian nonparametric modeling. However, in their basic form they do not directly integrate dependency information among data arising from space and time.
A Oliva, A Rodríguez, C Bishop, C Williams, CE Rasmussen, D Blei, D Blei, D Dunson, E Sudderth, F Zhu, H Ishwaran, J Duan, J Griffin, J Griffin, J Paisley, J Sethuraman, J Shi, L Ren, N Foti, P Orbanz, R Unnikrishnan, S Kumar, T Ferguson, X Sun, YW Teh   +24 more
core   +1 more source

Skew t Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance

Frontiers in Psychology, 2018
This simulation study assessed the statistical performance of a skew t mixture latent state-trait (LST) model for the analysis of longitudinal data. The model aims to identify interpretable latent classes with class-specific LST model parameters.
Louisa Hohmann, Jana Holtmann, Michael Eid   +2 more
doaj   +1 more source

Mixture of Experts Models

, 2019
Mixtures of experts models provide a framework in which covariates may be included in mixture models. This is achieved by modelling the parameters of the mixture model as functions of the concomitant covariates. Given their mixture model foundation, mixtures of experts models possess a diverse range of analytic uses, from clustering observations to ...
Gormley, Isobel Claire, Frühwirth-Schnatter, Sylvia   +1 more
openaire   +5 more sources

The Bayesian Expectation-Maximization-Maximization for the 3PLM

Frontiers in Psychology, 2019
The current study proposes an alternative feasible Bayesian algorithm for the three-parameter logistic model (3PLM) from a mixture-modeling perspective, namely, the Bayesian Expectation-Maximization-Maximization (Bayesian EMM, or BEMM).
Shaoyang Guo, Chanjin Zheng, Chanjin Zheng   +2 more
doaj   +1 more source

Extensible Gaussian Mixture Model for Image Prior Modeling [PDF]

Jisuanji gongcheng, 2020
To address the inextensible fixed number of components in image prior modeling based on Gaussian Mixture Model(GMM),this paper proposes an extensible GMM model based on Dirichlet Process(DP).Through the addition and merging mechanism of cluster ...
ZHANG Mohua, PENG Jianhua
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PENGELOMPOKAN RUMAH TANGGA DI INDONESIA BERDASARKAN PENDAPATAN PER KAPITA DENGAN MODEL FINITE MIXTURE

Media Statistika, 2020
In the statistical modeling framework, the form of the income distribution can be approaching based on certain statistical distributions. The use of the finite mixture model is relatively flexible in the modeling of the income distribution that has a ...
Irwan Susanto, Sri Sulistijowati Handajani   +1 more
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Underground target detection algorithm based on improved Gaussian mixture model

Gong-kuang zidonghua, 2021
The monitoring video images of underground coal mine have problems such as poor quality, noisy and being susceptible to sudden changes in illumination.
ZHANG Xiaoyan, GUO Haitao
doaj   +1 more source