Number of found documents: 1434
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Feasibility Study of an Interactive Medical Diagnostic Wikipedia
Grim, Jiří
2016 - English
Considering different application possibilities of product distribution mixtures we have proposed three formal tools in the last years, which can be used to accumulate decision-making know-how from particular diagnostic cases. First, we have developed a structural mixture model to estimate multidimensional probability distributions from incomplete and possibly weighted data vectors. Second, we have shown that the estimated product mixture can be used as a knowledge base for the Probabilistic Expert System (PES) to infer conclusions from definite or even uncertain input information. Finally we have shown that, by using product mixtures, we can exactly optimize sequential decision-making by means of the Shannon formula of conditional informativity. We combine the above statistical tools in the framework of an interactive open-access medical diagnostic system with automatic accumulation of decision-making knowledge. Keywords: Multivariate statistics; Medical diagnostics; Product mixtures; Incomplete data; Sequential classification; EM algorithm Fulltext is available at external website.
Feasibility Study of an Interactive Medical Diagnostic Wikipedia

Considering different application possibilities of product distribution mixtures we have proposed three formal tools in the last years, which can be used to accumulate decision-making know-how from ...

Grim, Jiří
Ústav teorie informace a automatizace, 2016

Basic facts concerning extreme supermodular functions
Studený, Milan
2016 - English
Elementary facts and observations on the cone of supermodular set functions are recalled. The manuscript deals with such operations with set functions which preserve supermodularity\nand the emphasis is put on those such operations which even preserve extremality (of a supermodular function). These involve a few self-transformations of the cone of supermodular set functions. Moreover, projections to the (less-dimensional) linear space of set functions for a subset of the variable set are discussed. Finally, several extensions to the (more-dimensional) linear space of set functions for a superset of the variable set are shown to be both preserving supermodularity and extremality. Keywords: supermodular function; standardizations; extreme supermodular function Fulltext is available at external website.
Basic facts concerning extreme supermodular functions

Elementary facts and observations on the cone of supermodular set functions are recalled. The manuscript deals with such operations with set functions which preserve supermodularity\nand the emphasis ...

Studený, Milan
Ústav teorie informace a automatizace, 2016

Transient and Average Markov Reward Chains with Applications to Finance
Sladký, Karel
2016 - English
The article is devoted to Markov reward chains, in particular, attention is primarily focused on the reward variance arising by summation of generated rewards. Explicit formulae for calculating the variances for transient and average models are reported along with sketches of algorithmic procedures for finding policies guaranteeing minimal variance in the class of policies with a given transient or average reward. Application of the obtained results to financial models is indicated. Keywords: dynamic programming; transient and average Markov reward chains; reward-variance optimality; optimality in financial models Fulltext is available at external website.
Transient and Average Markov Reward Chains with Applications to Finance

The article is devoted to Markov reward chains, in particular, attention is primarily focused on the reward variance arising by summation of generated rewards. Explicit formulae for calculating the ...

Sladký, Karel
Ústav teorie informace a automatizace, 2016

Diffusion MCMC for Mixture Estimation
Reichl, Jan; Dedecius, Kamil
2016 - English
Distributed inference of parameters of mixture models by a network of cooperating nodes (sensors) with computational and communication capabilities still represents a challenging task. In the last decade, several methods were proposed to solve this issue, predominantly formulated within the expectation-maximization framework and with the assumption of mixture components normality. The present paper adopts the Bayesian approach to inference of general (non-normal) mixtures via the Markov chain Monte Carlo simulation from the parameter posterior distribution. By collaborative tuning of node chains, the method allows reliable estimation even at nodes with significantly worse observational conditions, where the components may tend to merge due to high variances. The method runs in the diffusion networks, where the nodes communicate only with their adjacent neighbors within 1 hop distance. Keywords: Mixture; mixture estimation; MCMC Fulltext is available at external website.
Diffusion MCMC for Mixture Estimation

Distributed inference of parameters of mixture models by a network of cooperating nodes (sensors) with computational and communication capabilities still represents a challenging task. In the last ...

Reichl, Jan; Dedecius, Kamil
Ústav teorie informace a automatizace, 2016

Robot Control in Terms of Hamiltonian Mechanics
Záda, V.; Belda, Květoslav
2016 - English
The paper deals with a mathematical modeling of robot motion and control. Instead of frequently used Lagrangian formulation of robot dynamics, this paper presents robot dynamics by Hamiltonian formulation. This formulation leads to different physical descriptive quantities considered for control design. In the paper, as a comparative control approach, PD control with gravity compensation is considered. The control approach considering Hamiltonian formulation is demonstrated for simplicity on two-mass robot-arm system. However, the explained modeling approach is general and it can be applied, e.g., to usual industrial articulated robots-manipulators with multiple degrees of freedom. Keywords: Robot-manipulator; Hamiltonian formalism; Modeling; Robot control; PD control Fulltext is available at external website.
Robot Control in Terms of Hamiltonian Mechanics

The paper deals with a mathematical modeling of robot motion and control. Instead of frequently used Lagrangian formulation of robot dynamics, this paper presents robot dynamics by Hamiltonian ...

Záda, V.; Belda, Květoslav
Ústav teorie informace a automatizace, 2016

Základy statistické analýzy přežití s aplikací v analýze spolehlivosti
Volf, Petr
2016 - Czech
Práce předkládá jednak přehled metod používaných v statistické analýze přežití s ohledem na aplikaci v analýze spolehlivosti, jednak výsledky autora v oblasti analýzy regrese v modelech pro intenzitu poruch. Je doplněna ilustrativními příklady. The contribution provides an overview of survival analysis methods with application to the statistical reliability analysis. It also contains some new results of the author in the field of regression models for the hazard rate. Methods are illustrated on examples. Keywords: survival analysis; statistics; reliability analysis Fulltext is available at external website.
Základy statistické analýzy přežití s aplikací v analýze spolehlivosti

Práce předkládá jednak přehled metod používaných v statistické analýze přežití s ohledem na aplikaci v analýze spolehlivosti, jednak výsledky autora v oblasti analýzy regrese v modelech pro intenzitu ...

Volf, Petr
Ústav teorie informace a automatizace, 2016

Linear ARX and state-space model with uniform noise: computation of first and second moments
Jirsa, Ladislav
2016 - English
This report collects technical procedures used for computations of various estimates and keeps them in one place for internal purposes. The context concerns application of estimation of unknown parameters and states of linear model with uniformly distributed noise. Keywords: uncertainty; bounded variable; uniform noise; linear model; model identification; state estimation Fulltext is available at external website.
Linear ARX and state-space model with uniform noise: computation of first and second moments

This report collects technical procedures used for computations of various estimates and keeps them in one place for internal purposes. The context concerns application of estimation of unknown ...

Jirsa, Ladislav
Ústav teorie informace a automatizace, 2016

DCTOOL-A3
Bakule, Lubomír; Papík, Martin; Rehák, Branislav
2016 - English
DCTOOL-A3 is a documentation of Matlab routines developed for the design of decentralized control of large scale complex systems. The current beta version covers three areas as follows:\nReport 4.1 deals with the event-triggered control design for unstructured uncertain systems. Both non-quantized and quantized feedback is analyzed. The results are given in terms of linear matrix inequalities (LMIs). Logarithmic quantizer is used. Numerical example illustrates the effectiveness of the presented results.\nReport 4.2 presents a new decentralized overlapping wireless control design with a switched communication protocol. The method is applied by simulations on the 20-story building structure including the test of robustness of the methods against sensor failures and network node dropouts of a digital network.\nReport 4.3 presents the construction of a new decentralized wireless controller and a set of heuristic algorithms for evaluation of packet dropouts, sensor faults and actuator faults. The digital network operates at the standard frequency used in well-known widely-used industrial protocols. The results are tested at the Benchmark model decomposed into two disjoint substructures. The results are published. Thus, the details are omitted here. Keywords: event-triggered control; networked control systems; large scale complex systems Available at various institutes of the ASCR
DCTOOL-A3

DCTOOL-A3 is a documentation of Matlab routines developed for the design of decentralized control of large scale complex systems. The current beta version covers three areas as follows:\nReport 4.1 ...

Bakule, Lubomír; Papík, Martin; Rehák, Branislav
Ústav teorie informace a automatizace, 2016

Information Geometry and its Applications IV
Kratochvíl, Václav
2016 - English
The aim of the conference is to highlight recent developments within the field of information geometry and to identify new directions of research. We are confident that we have put together an exciting program consisting of invited talks and contributed poster presentations. All titles and abstracts are included in this book. We thank Václav Kratochvíl for his terrific work with the local organisation! Special thanks go to Antje Vandenberg who managed all the administrative work in Leipzig. We are also grateful for the support that we received from Milan Studený Keywords: Information Geometry Fulltext is available at external website.
Information Geometry and its Applications IV

The aim of the conference is to highlight recent developments within the field of information geometry and to identify new directions of research. We are confident that we have put together an ...

Kratochvíl, Václav
Ústav teorie informace a automatizace, 2016

Comparison of mixture-based classification with the data-dependent pointer model for various types of components
Likhonina, Raissa; Suzdaleva, Evgenia; Nagy, Ivan
2016 - English
The presented report is devoted to the analysis of a data-dependent pointer model, whether it brings some advantages in comparison with a data-independent pointer model at simulation and estimation of components referring to different types of distribution, including categorical, uniform, exponential and state-space components for a dynamic data-dependent model, and normal components for a static data-dependent pointer model. Keywords: mixture-based classification; data-dependent pointer; recurisive mixture estimation Fulltext is available at external website.
Comparison of mixture-based classification with the data-dependent pointer model for various types of components

The presented report is devoted to the analysis of a data-dependent pointer model, whether it brings some advantages in comparison with a data-independent pointer model at simulation and estimation of ...

Likhonina, Raissa; Suzdaleva, Evgenia; Nagy, Ivan
Ústav teorie informace a automatizace, 2016

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