Results 281 to 290 of about 1,286,114 (315)

Fuzzy Gaussian Mixture Models

Pattern Recognition, 2012
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Zhaojie Ju, Honghai Liu 0001
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SMEM Algorithm for Mixture Models

Neural Computation, 2000
We present a split-and-merge expectation-maximization (SMEM) algorithm to overcome the local maxima problem in parameter estimation of finite mixture models. In the case of mixture models, local maxima often involve having too many components of a mixture model in one part of the space and too few in another, widely separated part of the space.
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton   +3 more
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Mixture Models for Classification

2007
Finite mixture distributions provide efficient approaches of model-based clustering and classification. The advantages of mixture models for unsupervised classification are reviewed. Then, the article is focusing on the model selection problem. The usefulness of taking into account the modeling purpose when selecting a model is advocated in the ...
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ON MIXTURE MEMORY GARCH MODELS

Journal of Time Series Analysis, 2013
We propose a new volatility model, which is called the mixture memory generalized autoregressive conditional heteroskedasticity (MM‐GARCH) model. The MM‐GARCH model has two mixture components, of which one is a short‐memory GARCH and the other is the long‐memory fractionally integrated GARCH.
Li, M, Li, WK, Li, G
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Jeffreys prior for mixture models [PDF]

, 2014
Mixture models may be a useful and flexible tool to describe data with a complicated structure, for instance characterized by multimodality or asymmetry. In a Bayesian setting, it is a well established fact that one need to be careful in using improper prior distributions, since the posterior distribution may not be proper.
GRAZIAN, CLARA, C. P. Robert
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Mixture Models

2008
Bruce G. Lindsay, Michael Stewart
openaire   +1 more source

Mixture Models

2017
Vermunt, J.K., Paas, L.J.
openaire   +2 more sources

The Bibliometric Analysis on Finite Mixture Model

SAGE Open, 2022
Seuk Yen Phoong, Seuk Wai Phoong
exaly  

A Novel Approach for Gaussian Mixture Model Clustering Based on Soft Computing Method

IEEE Access, 2021
Maruf Gogebakan
exaly  

Finite mixture models: McLachlan/finite mixture models

2000
An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech ...
McLachlan, Geoffrey, Peel, David
openaire   +3 more sources