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

On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem
Kaňa, Radek; Matonoha, Ctirad; Papáček, Š.; Soukup, 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: FRAP; parameter estimation; diffusion coefficient; boundary value problem; optimization; regularization Fulltext is available at external website. On estimation of diffusion coefficient based on spatio-temporal FRAP images: An inverse ill-posed problem

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

Kaňa, Radek; Matonoha, Ctirad; Papáček, Š.; Soukup, J.
Ústav informatiky, 2013

Statistical Expectation of High Energy Physics Data Sets Separation Algorithms
Hakl, František
2013 - English Article focuses on the application of the basic results of the statistical learning theory known as Probabilistic Approximately Correct learning in the evaluation and post-processing of unique physical data obtained from the detectors of particle accelerators. The aim of this article is not direct separation of the measured data but evaluation of the appropriateness of separation methods used. The main principles and results of the PAC learning theory are briefly summarized, the main characteristics of selected multivariable data separation algorithms are studied from the VC-dimension point of view. Finally, based on actual data sets obtained from Tevatron D$\emptyset$ experiment, some practical hints for separation method selection and numerical computation are derived. Keywords: Probably Approximately Correct Learning; Refutability; HEP data separation; Neural networks; Decision trees; VC-dimension Available at various institutes of the ASCR Statistical Expectation of High Energy Physics Data Sets Separation Algorithms

Article focuses on the application of the basic results of the statistical learning theory known as Probabilistic Approximately Correct learning in the evaluation and post-processing of unique ...

Hakl, František
Ústav informatiky, 2013

Gaussian Radial and Kernel Networks with Varying and Fixed Widths
Kůrková, Věra
2013 - English The role of widths of Gaussians in computational models which they generate is investigated. Suitability of Gaussian kernel models with fixed widths for regression is proven in terms of their universal approximation capability. Large sets of argminima of error functionals minimized during learning from data over Gaussian networks with varying widths are described. Dependence of stabilizers modelling generalization on widths of Gaussian kernels and the input dimension is estimated. Keywords: Gaussian radial and kernel networks; functionally equivalent networks; universal approximators; stabilizers defined by Gaussian kernels Available at various institutes of the ASCR Gaussian Radial and Kernel Networks with Varying and Fixed Widths

The role of widths of Gaussians in computational models which they generate is investigated. Suitability of Gaussian kernel models with fixed widths for regression is proven in terms of their ...

Kůrková, Věra
Ústav informatiky, 2013

Shrinkage Approach for Gene Expression Data Analysis
Haman, Jiří; Valenta, Zdeněk; Kalina, Jan
2013 - English Keywords: shrinkage estimation; covariance matrix; high dimensional data; gene expression Available at various institutes of the ASCR Shrinkage Approach for Gene Expression Data Analysis

Haman, Jiří; Valenta, Zdeněk; Kalina, Jan
Ústav informatiky, 2013

Education for Medical Decision Support at EuroMISE Centre
Martinková, Patrícia; Zvára Jr., Karel; Dostálová, T.; Zvárová, Jana
2013 - English Keywords: education; decision support; knowledge evaluation; e-learning Available at various institutes of the ASCR Education for Medical Decision Support at EuroMISE Centre

Martinková, Patrícia; Zvára Jr., Karel; Dostálová, T.; Zvárová, Jana
Ústav informatiky, 2013