The use of Score Functions of Distribution for Description of Parametric Families
Fabián, Zdeněk
2014 - English Keywords: systems of distributions; Johnson transformations; score function of distribution; parametric families Available on request at various institutes of the ASCR The use of Score Functions of Distribution for Description of Parametric Families

Fabián, Zdeněk
Ústav informatiky, 2014

Robust Regularized Cluster Analysis for High-Dimensional Data
Kalina, Jan; Vlčková, Katarína
2014 - English This paper presents new approaches to the hierarchical agglomerative cluster analysis for high-dimensional data. First, we propose a regularized version of the hierarchical cluster analysis for categorical data with a large number of categories. It exploits a regularized version of various test statistics of homogeneity in contingency tables as the measure of distance between two clusters. Further, our aim is cluster analysis of continuous data with a large number of variables. Various regularization techniques tailor-made for high-dimensional data have been proposed, which have however turned out to suffer from a high sensitivity to the presence of outlying measurements in the data. As a robust solution, we recommend to combine two newly proposed methods, namely a regularized version of robust principal component analysis and a regularized Mahalanobis distance, which is based on an asymptotically optimal regularization of the covariance matrix. We bring arguments in favor of the newly proposed methods. Keywords: cluster analysis; robust data mining; big data; regularization Available at various institutes of the ASCR Robust Regularized Cluster Analysis for High-Dimensional Data

This paper presents new approaches to the hierarchical agglomerative cluster analysis for high-dimensional data. First, we propose a regularized version of the hierarchical cluster analysis for ...

Kalina, Jan; Vlčková, Katarína
Ústav informatiky, 2014

ITAT 2014. Information Technologies - Applications and Theory. Part II
Kůrková, Věra; Bajer, Lukáš; Peška, L.; Vojtáš, P.; Holeňa, Martin; Nehéz, M.
2014 - English ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague : Institute of Computer Science AS CR, 2014. 145 p. ISBN 978-80-87136-19-5. This volume is the second part of the two-volume proceedings of the 14th conference Information Technologies – Applications and Theory (ITAT 2014), which was held in Jasná, Demänovská Dolina, Slovakia, on September 25–29, 2014. ITAT is a computer science conference with the primary goal of exchanging information on recent research results. Overall, 51 papers were submitted to all conference tracks. This volume presents papers from the workshops and an extended abstract of a poster. Three specialized workshops were held as a part of the conference: Data Mining and Preference Learning on Web, Computational Intelligence and Data Mining, and Algorithmic Aspects of Complex Networks Analysis. Keywords: computer science; machine-learning; computer linguistics; data-mining; bio-informatics; parallel processing Available on request at various institutes of the ASCR ITAT 2014. Information Technologies - Applications and Theory. Part II

ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague : Institute of Computer Science AS CR, 2014. 145 p. ISBN 978-80-87136-19-5. This volume is the second part of the ...

Kůrková, Věra; Bajer, Lukáš; Peška, L.; Vojtáš, P.; Holeňa, Martin; Nehéz, M.
Ústav informatiky, 2014

Description of Continuous Distributions and Data Samples by Means of Score Functions of Distribution
Fabián, Zdeněk
2014 - English Keywords: score function; score mean; score variance; generalized Fisher information; data characteristics Available on request at various institutes of the ASCR Description of Continuous Distributions and Data Samples by Means of Score Functions of Distribution

Fabián, Zdeněk
Ústav informatiky, 2014

On the Consistency of an Estimator for Hierarchical Archimedean Copulas
Górecki, J.; Hofert, M.; Holeňa, Martin
2014 - English The paper addresses an estimation procedure for hierarchical Archimedean copulas, which has been proposed in the literature. It is shown here that this estimation is not consistent in general. Furthermore, a correction is proposed, which leads to a consistent estimator. Keywords: hierarchical Archimedean copula; Kendall distribution function; parameter estimation; structure determination; consistency Available on request at various institutes of the ASCR On the Consistency of an Estimator for Hierarchical Archimedean Copulas

The paper addresses an estimation procedure for hierarchical Archimedean copulas, which has been proposed in the literature. It is shown here that this estimation is not consistent in general. ...

Górecki, J.; Hofert, M.; Holeňa, Martin
Ústav informatiky, 2014

Robust Template Matching
Kalina, Jan
2013 - English Keywords: correlation coefficient; robust statistics; image analysis Available on request at various institutes of the ASCR Robust Template Matching

Kalina, Jan
Ústav informatiky, 2013

In-Hospital Death Prediction in Patients with Acute Coronary Syndrome
Monhart, Z.; Reissigová, Jindra; Zvárová, Jana; Grünfeldová, H.; Janský, P.; Vojáček, J.; Widimský, P.
2013 - English Keywords: acute coronary syndrome; in-hospital death; prediction; multilevel logistic regression; non-PCI hospital Available at various institutes of the ASCR In-Hospital Death Prediction in Patients with Acute Coronary Syndrome

Monhart, Z.; Reissigová, Jindra; Zvárová, Jana; Grünfeldová, H.; Janský, P.; Vojáček, J.; Widimský, P.
Ústav informatiky, 2013

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

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