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On identification of probabilistic mixture models with dynamic weights
The probabilistic mixtures with constant weights provide a universal approximation of almost any probabilistic density function and thus can be successfully used, there are cases, where the mixtures with constant w...
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 created a base for efficient solution of the multiobjective control problem. Paper of the multicriterial design with both system model and target...
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 prob...
BB - Aplikovaná statistika, operační výzkum
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Mixtures of Product Components Versus Mixtures of Dependence Trees
Main topics of the document: probabilistic neural networks; product mixtures; mixtures of dependence trees; EM algorithm...
IN - Informatika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Mixture-based adaptive probabilistic control.
The paper summarizes quasi-Bayes algorithm for mixture estimation combined with stabilized forgetting and fully probabilistic control design on the receding-horizon certainty equivalence principle strategy. The result is referred to...
BC - Teorie a systémy řízení
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Iterative principles of recognition in probabilistic neural networks.
Basic themes of document: Probabilistic neural network; Structural distribution mixtures; EM algorithm; Recurrent reasoning...
BD - Teorie informace
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Probabilistic Neural Networks.
The probabilistic approach to neural networks based on estimating mixture distributions has been developed in the framework of statistical pattern recognition with the aim to obtain a statistically well justified and biologically pl...
BB - Aplikovaná statistika, operační výzkum
- 2003 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Iterative principles of recognition in probabilistic neural networks
When considering the probabilistic approach to neural networks in the framework distributions by finite mixtures of product components. The mixture components canbe interpreted as probabilistic neurons in neurophys...
IN - Informatika
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Recurrent Bayesian Reasoning in Probabilistic Neural Networks
Considering the probabilistic approach to neural networks in the framework distributions by finite mixtures of product components. The mixture components can be interpreted as probabilistic neurons in neurophysiolo...
BD - Teorie informace
- 2007 •
- 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 control of the system as well as ...
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
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