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On identification of probabilistic mixture models with dynamic weights
. The paper improves the probabilistic mixture model with introducing data dependentThe probabilistic mixtures with constant weights provide a universal approximation of almost any probabilistic d...
BB - Aplikovaná statistika, operační výzkum
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Probabilistic mixture control with multimodal target
Fully probabilistic control combined with probabilistic mixture modelling has of the multicriterial design with both system model and target represented by finite probabilistic mixtures. ...
BC - Teorie a systémy řízení
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Control of a simple non-linear system using probabilistic mixtures.
the probabilistic mixture model must be obtained from the process data. Second, the desired values on the system must be convert to the form of probabilistic density function (pdf). Then the approximation of fully...
BB - Aplikovaná statistika, operační výzkum
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Approximate recursive Bayesian estimation of dynamic probabilistic mixtures
Majority of complex non-linear systems can be successfully modelled by a finite probabilistic mixture of linear models. The mixture model can be handled analytically, which is important for contro...
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Contribution to fault detection and diagnosis: Mixture-based modelling
A multi-model approach complemented by probabilistic mixture modelling has been applied to solve fault detection and isolation problem. The resulting algorithm provides efficient tool for process condition monitori...
BD - Teorie informace
- 2004 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Probabilistic Discrete Mixtures Colour Texture Models
Basic themes of document: Discrete distribution mixtures; EM algorithm; texture modeling...
BD - Teorie informace
- 2008 •
- D
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D - Stať ve sborníku
Rubust subspace mixture models using $t$-distributions
Probabilistic subspace mixture models, as proposed over the last few years, are interesting methods for learning image manifolds, i.e. nonlinear subspaces of spaces. Here, the idea of robust mixture modelling
JD - Využití počítačů, robotika a její aplikace
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Probabilistic Information Retrieval from Census Data Based on Distribution Mixtures.
A new original method of probabilistic data mining based on estimating discrete distribution mixtures is considered in connection with large and confidential databases obtained in census....
BB - Aplikovaná statistika, operační výzkum
- 2000 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Mixture ratio modeling of dynamic systems
of the relevant probabilistic model. Finite mixtures with components in the exponential family. Such mixtures are not universal approximators of dynamic probabilistic models. Formally, this follo...
Automation and control systems
- 2021 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Computational Properties of Probabilistic Neural Networks
. The underlyingstructural mixture model includes binary structural parameters and can be optimized by EM algorithm in full generality. Formally, the structural model reduces the numberWe discuss the problem of overfitting ...
IN - Informatika
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
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