Heat exposure optimization applied to moulding process in the automotive industry
Královcová, J.; Lukšan, Ladislav; Mlýnek, J.
2013 - English This contribution contains a description and comparison of two methods applied to exposure optimization applied to moulding process in the automotive industry. Keywords: heat exposure; moulding process; constrained optimization; applied optimization; numerical solution Fulltext is available at external website. Heat exposure optimization applied to moulding process in the automotive industry

This contribution contains a description and comparison of two methods applied to exposure optimization applied to moulding process in the automotive industry.

Královcová, J.; Lukšan, Ladislav; Mlýnek, J.
Ústav informatiky, 2013

Introduction to Survival Analysis
Valenta, Zdeněk
2013 - English Survival analysis is concerned with analyzing time-to-event data where the event of interest usually represents some type of “failure”. In clinical medicine, the event of interest may be e.g. death of a patient from well specified causes, autoimmune rejection of the graft by the transplant recipient or other type of graft failure in transplant studies. In certain situations, however, the true survival outcomes may not be observable, because we have observed a so called “censoring event” which prevented the event of interest from occurring. Such censoring event may represent, for instance, loss of a particular subject from follow-up, occurrence of administrative censoring, which typically takes place in clinical trials, or we may indeed observe other type of “failure”, e.g. death from fatal injuries rather than from cardiovascular causes which were of primary interest in a particular clinical trial. In this article we will stress the importance of a key assumption relating censoring process to survival outcomes and review principle univariate survival analysis methods for uncorrelated data. We will review popular models for analyzing univariate survival data, many of which enable us quantifying effect the prognostic variables independently exert on survival outcomes. Model examples will cover the classes of non-parametric, parametric and semi-parametric methods. We will also review underlying assumptions of individual models and stress the importance of using appropriate models in analyzing univariate time-to-event data. Keywords: survival analysis; time-to-event data; censoring process; hazard function; survival time Available at various institutes of the ASCR Introduction to Survival Analysis

Survival analysis is concerned with analyzing time-to-event data where the event of interest usually represents some type of “failure”. In clinical medicine, the event of interest may be e.g. death of ...

Valenta, Zdeněk
Ústav informatiky, 2013

Capabilities of Radial and Kernel Networks
Kůrková, Věra
2013 - English Originally, artificial neural networks were built from biologically inspired units called perceptrons. Later, other types of units became popular in neurocomputing due to their good mathematical properties. Among them, radial-basis-function (RBF) units and kernel units became most popular. The talk will discuss advantages and limitations of networks with these two types of computational units. Higher flexibility in choice of free parameters in RBF will be compared with benefits of geometrical properties of kernel models allowing applications of maximal margin classification algorithms, modelling of generalization in learning from data in terms of regularization, and characterization of optimal solutions of learning tasks. Critical influence of input dimension on behavior of these two types of networks will be described. General results will be illustrated by the paradigmatic examples of Gaussian kernel and radial networks. Keywords: artificial neural networks; radial-basis-function; kernel units; advantages and limitations of networks; Gaussian kernel and radial networks Available at various institutes of the ASCR Capabilities of Radial and Kernel Networks

Originally, artificial neural networks were built from biologically inspired units called perceptrons. Later, other types of units became popular in neurocomputing due to their good mathematical ...

Kůrková, Věra
Ústav informatiky, 2013

Stochastic Models for Low Level DNA Mixtures
Slovák, Dalibor; Zvárová, Jana
2013 - English Keywords: forensic DNA interpretation; low level samples; allele peak heights; dropout probability Available at various institutes of the ASCR Stochastic Models for Low Level DNA Mixtures

Slovák, Dalibor; Zvárová, Jana
Ústav informatiky, 2013

Behavioural Biometrics in Biomedicine
Schlenker, Anna; Šárek, M.
2013 - English Keywords: biometrics; behavioural biometrics; keystroke dynamics; mouse dynamics Available at various institutes of the ASCR Behavioural Biometrics in Biomedicine

Schlenker, Anna; Šárek, M.
Ústav informatiky, 2013

Dental Electronic Health Record Evaluation (Electronic Health Record versus WHO Dental Card)
Chleborád, K.; Zvára Jr., Karel; Dostálová, T.; Zvára, Karel; Ivančáková, R.; Zvárová, Jana; Smidl, L.; Trmal, J.; Psutka, J.
2013 - English Keywords: dentistry; medical documentation; electronic health record Available at various institutes of the ASCR Dental Electronic Health Record Evaluation (Electronic Health Record versus WHO Dental Card)

Chleborád, K.; Zvára Jr., Karel; Dostálová, T.; Zvára, Karel; Ivančáková, R.; Zvárová, Jana; Smidl, L.; Trmal, J.; Psutka, J.
Ústav informatiky, 2013

Přírodou inspirované prohledávací algoritmy a jejich aplikace
Neruda, Roman
2013 - Czech V příspěvku popisujeme základní principy evolučních algoritmů a genetického prohledávání prostorů parametrů. Jsou vysvětleny přístupy genetických algoritmů, evolučních strategií, evolučního programování, genetického programování, rojové algoritmy, a neuroevoluce. Publikováno ve sborníku Analýza dat 2013. Statistické metody pro technologii a výzkum. Pardubice : TriloByte Statistical Software, 2013, s. 69-80. ISSN 1805-6903. Předneseno jako zvaná přednáška na konferenci Analýza dat 2013. Basic principles of evolutionary algorithms and genetic search of parameter spaces are described in this paper. We explain the approaches common for genetic algorithms, evolutionary strategies, evolutionary programming, genetic programming, swarm algorithms, and neuroevolution. Published in proceedings Analýza dat 2013. Statistické metody pro technologii a výzkum. Pardubice : TriloByte Statistical Software, 2013, p. 69-80. ISSN 1805-6903. Presented as invited talk at the conference Analýza dat 2013. Keywords: evoluční algoritmy; genetické prohledáváni; rojové algoritmy; neuroevoluce Available at various institutes of the ASCR Přírodou inspirované prohledávací algoritmy a jejich aplikace

V příspěvku popisujeme základní principy evolučních algoritmů a genetického prohledávání prostorů parametrů. Jsou vysvětleny přístupy genetických algoritmů, evolučních strategií, evolučního ...

Neruda, Roman
Ústav informatiky, 2013

An Alternative Approach to the Structure Determination of Hierarchical Archimedean Copulas
Górecki, J.; Holeňa, Martin
2013 - English Copulas offer very a flexible tool for a stochastic dependence modeling. One of the most popular classes of copulas is the class of hierarchical Archimedean copulas, which gained its popularity due to the fact that the models from the class are able to model the stochastic dependencies conveniently even in high dimensions. One critical issue when estimating a hierarchical Archimedean copula is to correctly determine its structure. The paper describes an approach to the problem of the structure determination of a hierarchical Archimedean copula, which is based on the close relationship of the copula structure and the values of measure of concordance computed on all its bivariate margins. The presented approach is conveniently summarized as a simple algorithm. Keywords: hierarchical Archimedean copula; structure determination; measure of concordance; bivariate margins; nesting condition Available on request at various institutes of the ASCR An Alternative Approach to the Structure Determination of Hierarchical Archimedean Copulas

Copulas offer very a flexible tool for a stochastic dependence modeling. One of the most popular classes of copulas is the class of hierarchical Archimedean copulas, which gained its popularity due to ...

Górecki, J.; Holeňa, Martin
Ústav informatiky, 2013

Optimalizace osazování odběrných míst inteligentními plynoměry
Konár, Ondřej
2012 - Czech Keywords: smart metering; zemní plyn Available in a digital repository NRGL Optimalizace osazování odběrných míst inteligentními plynoměry

Konár, Ondřej
Ústav informatiky, 2012

Nonlinear Trend Modeling in the Analysis of Categorical Data
Kalina, Jan
2012 - English This paper studies various approaches to testing trend in the context of categorical data. While the linear trend is far more popular in econometric applications, a nonlinear modeling of the trend allows a more subtle information extraction from real data, especially if the linearity of the trend cannot be expected and verified by hypothesis testing. We exploit the exact unconditional approach to propose alternative versions of some trend tests. One of them is the test of relaxed trend (Liu, 1998), who proposed a generalization of the classical Cochran- Armitage test of linear trend. A numerical example on real data reveals the advantages of the test of relaxed trend compared to the classical test of linear trend. Further, we propose an exact unconditional test also for modeling association between an ordinal response and nominal regressor. Further, we propose a robust estimator of parameters in the logistic regression model, which is based on implicit weighting of individual observations. We assess the breakdown point of the newly proposed robust estimator. Keywords: contingency tables; exact unconditional test; log-linear model; logistic regression; robust estimation Fulltext is available at external website. Nonlinear Trend Modeling in the Analysis of Categorical Data

This paper studies various approaches to testing trend in the context of categorical data. While the linear trend is far more popular in econometric applications, a nonlinear modeling of the trend ...

Kalina, Jan
Ústav informatiky, 2012