Objectification of a Choice of a Spa Treatment Plan for Arthritis of the Hip Joint
Och, F.; Medonos, J.; Hanzlíček, P.; Valenta, Zdeněk; Dvořák, V.; Zvárová, Jana
2013 - English Keywords: decision-support; spa treatment; hip arthritis; statistical analysis Available at various institutes of the ASCR Objectification of a Choice of a Spa Treatment Plan for Arthritis of the Hip Joint

Och, F.; Medonos, J.; Hanzlíček, P.; Valenta, Zdeněk; Dvořák, V.; Zvárová, Jana
Ústav informatiky, 2013

Robustness Aspects of Knowledge Discovery
Kalina, Jan
2013 - English The sensitivity of common knowledge discovery methods to the presence of outlying measurements in the observed data is discussed as their major drawback. Our work is devoted to robust methods for information extraction from data. First, we discuss neural networks for function approximation and their sensitivity to the presence of noise and outlying measurements in the data. We propose to fit neural networks in a robust way by means of a robust nonlinear regression. Secondly, we consider information extraction from categorical data, which commonly suffers from measurement errors. To improve its robustness properties, we propose a regularized version of the common test statistics, which may find applications e.g. in pattern discovery from categorical data. Keywords: machine learning; outliers; neural networks; robust estimation Available at various institutes of the ASCR Robustness Aspects of Knowledge Discovery

The sensitivity of common knowledge discovery methods to the presence of outlying measurements in the observed data is discussed as their major drawback. Our work is devoted to robust methods for ...

Kalina, Jan
Ústav informatiky, 2013

Mathematical fuzzy logic: first-order and beyond
Cintula, Petr
2013 - English Keywords: mathematical fuzzy logic; predicate fuzzy logic; metamathematics of fuzzy logic; higher-order fuzzy logics Available in digital repository of the ASCR Mathematical fuzzy logic: first-order and beyond

Cintula, Petr
Ústav informatiky, 2013

Autocorrelated residuals of robust regression
Kalina, Jan
2013 - English The work is devoted to the Durbin-Watson test for robust linear regression methods. First we explain consequences of the autocorrelation of residuals on estimating regression parameters. We propose an asymptotic version of the Durbin-Watson test for regression quantiles and trimmed least squares and derive an asymptotic approximation to the exact null distribution of the test statistic, exploiting the asymptotic representation for both regression estimators. Further, we consider the least weighted squares estimator, which is a highly robust estimator based on the idea to down-weight less reliable observations. We compare various versions of the Durbin-Watson test for the least weighted squares estimator. The asymptotic test is derived using two versions of the asymptotic representation. Finally, we investigate a weighted Durbin-Watson test using the weights determined by the least weighted squares estimator. The exact test is described and also an asymptotic approximation to the distribution of the weighted statistic under the null hypothesis is obtained. Keywords: linear regression; robust statistics; diagnostics; autocorrelation Fulltext is available at external website. Autocorrelated residuals of robust regression

The work is devoted to the Durbin-Watson test for robust linear regression methods. First we explain consequences of the autocorrelation of residuals on estimating regression parameters. We propose ...

Kalina, Jan
Ústav informatiky, 2013

Error Analysis of Three Methods for the Parameter Estimation Problem based on Spatio-temporal FRAP Measurement
Papáček, Š.; Matonoha, Ctirad
2013 - English Keywords: diffusion equation; inverse problem formulation; sensitivity analysis Available in digital repository of the ASCR Error Analysis of Three Methods for the Parameter Estimation Problem based on Spatio-temporal FRAP Measurement

Papáček, Š.; Matonoha, Ctirad
Ústav informatiky, 2013

System for Selection of Relevant Information for Decision Support
Kalina, Jan; Seidl, L.; Zvára, K.; Grünfeldová, H.; Slovák, Dalibor; Zvárová, Jana
2013 - English Keywords: decision support system; web-service; information extraction; high-dimension; gene expressions Available at various institutes of the ASCR System for Selection of Relevant Information for Decision Support

Kalina, Jan; Seidl, L.; Zvára, K.; Grünfeldová, H.; Slovák, Dalibor; Zvárová, Jana
Ústav informatiky, 2013

Forecasting System for Truck Parking Based on Statistical Modeling of Indirect Data
Brabec, Marek; Konár, Ondřej; Kasanický, Ivan; Pelikán, Emil; Malý, Marek; Lokaj, Z.; Zelinka, T.
2013 - English In this paper, we describe briefly ongoing work on a project devoted to development and pilot verification of a system for highway truck parking detection and forecasting. The project has been funded by the Technological Agency of the Czech Republic (TACR) during 2012-2014 as the project number TA02031411: “Increasing the usage of parking capacity on highways using prediction models”. It is based on a unique collaboration of Faculty of Transportation Sciences, Czech Technical University in Prague, Institute of Computer Science, Academy of Sciences of the Czech Republic, Inoxive Ltd. and Kapsch Telematic Services Ltd. Keywords: intelligent transport systems; traffic modeling; statistical modeling; generalized additive models; dynamic models Available in digital repository of the ASCR Forecasting System for Truck Parking Based on Statistical Modeling of Indirect Data

In this paper, we describe briefly ongoing work on a project devoted to development and pilot verification of a system for highway truck parking detection and forecasting. The project has been funded ...

Brabec, Marek; Konár, Ondřej; Kasanický, Ivan; Pelikán, Emil; Malý, Marek; Lokaj, Z.; Zelinka, T.
Ústav informatiky, 2013

An Interpretation of Conflicting Parts of Belief Functions on Two-Element Frame of Discrement
Daniel, Milan
2013 - English When combining belief functions by the conjunctive rules of combination, conflicts often appear, which are assigned to empty set by un-normalized conjunctive rule or normalized by Dempster's rule of combination. This contribution is devoted to an interpretation of the conflicting part of a belief function on a two-element frame of discernment. It is based on the author's idea of the unique decomposition of such function into its conflicting and non-conflicting part (CJS 2010, Otaru). A relation of conflicting part of a belief function to internal conflict of the function is also studied and a new definition of internal conflict is introduced. New internal conflict is compared with the previous approaches. Keywords: Belief function, Dempster-Shafer theory, uncertainty, Dempster's semigroup, internal conflict, conflict between belief functions, non-conflicting part of belief function, conflicting part of belief function. Keywords: belief function; Dempster-Shafer theory; uncertainty; Dempster's semigroup; internal conflict; conflict between belief functions; non-conflicting part of belief function; conflicting part of belief function Fulltext is available at external website. An Interpretation of Conflicting Parts of Belief Functions on Two-Element Frame of Discrement

When combining belief functions by the conjunctive rules of combination, conflicts often appear, which are assigned to empty set by un-normalized conjunctive rule or normalized by Dempster's rule of ...

Daniel, Milan
Ústav informatiky, 2013

Source localization for EEG patterns relevant to motor imagery BCI control
Bobrov, P.; Frolov, A.; Húsek, Dušan; Tintěra, J.
2013 - English This work concerns spatial localization of sources of EEG patterns the most specific for control of the motor imagery based BCI. In our previous work we have shown that performance of Bayesian BCI classifier can be drastically improved by extraction of the most relevant independent components of the EEG signal. This paper presents the results of spatial localization of electrical brain activity sources which activity is reflected by the extracted components. The localization was performed by solving the inverse problem in EEG source localization, using individual finite-element head models. The sources were located in central sulcus (Brodmann area 3a), in the superior regions of post- and precentral gyri, and supplementary motor cortex. Keywords: brain computer interface; inverse EEG problem; brain activity location; signal classification; independent component analysis Available at various institutes of the ASCR Source localization for EEG patterns relevant to motor imagery BCI control

This work concerns spatial localization of sources of EEG patterns the most specific for control of the motor imagery based BCI. In our previous work we have shown that performance of Bayesian BCI ...

Bobrov, P.; Frolov, A.; Húsek, Dušan; Tintěra, J.
Ústav informatiky, 2013

On using Unitary Matrices for the Investigation of GMRES convergence Behavior
Duintjer Tebbens, Jurjen
2013 - English Keywords: GMRES method; convergence behavior; unitary linear system; unitary eigenproblem Available in digital repository of the ASCR On using Unitary Matrices for the Investigation of GMRES convergence Behavior

Duintjer Tebbens, Jurjen
Ústav informatiky, 2013