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

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

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

Is There Something Beyond AI? Frequently Emerging, but Seldom Answered Questions about Artificial Super-Intelligence
Wiedermann, Jiří
2012 - English Using the contemporary theories and views of computing and of cognitive systems we indicate possible answers to the following frequently asked questions about artificial intelligence: (i) what is the "computational power" of artificial cognitive systems?; (ii) are there "levels" of intelligence?; (iii) what is the position of human intelligence w.r.t. the "levels" of intelligence?; (iv) is there a general mechanism of intelligence?; (v) can "fully-fledged" body-less intelligence exist?; (vi) can there exist a sentient cloud? We give qualified arguments suggesting that within the large class of computational models of cognitive systems the answers to the previous question are positive. These arguments are mostly based on the author's recent works related to this problematics. Keywords: cognitive systems; computational models; non-uniform evolving automaton Available on request at various institutes of the ASCR Is There Something Beyond AI? Frequently Emerging, but Seldom Answered Questions about Artificial Super-Intelligence

Using the contemporary theories and views of computing and of cognitive systems we indicate possible answers to the following frequently asked questions about artificial intelligence: (i) what is the ...

Wiedermann, Jiří
Ústav informatiky, 2012