ISSN: 1805-3610 (print)
ISSN: 1805-3629 (online)
DOI: 10.13164/ma
Vydává: Ústav matematiky FSI VUT v Brně
Šéfredaktor: prof. RNDr. Josef Šlapal, CSc.
Web: ma.fme.vutbr.cz

Časopis vychází od roku 2012, dvakrát ročně.

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  • On the ubiquity of the Bayesian paradigm in statistical machine learning and data science 

    Fokoué, Ernest (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    This paper seeks to provide a thorough account of the ubiquitous natureof the Bayesian paradigm in modern statistics, data science and artificial intelli-gence. Once maligned, on the one hand by those ...
  • What do Asian and non-Asian scriptures have in common? An applied statistical machine learning inquiry 

    Sah, Preeti; Fokoué, Ernest (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    This paper presents a substantially detailed statistical machine learningapproach to the analysis of several aspects of sacred texts from both the Asian andBiblical scriptural canons. The corpus herein considered consists ...
  • Prediction and evaluation in College Hockey using the Bradley–Terry–Zermelo model 

    Whelan, John T.; Wodon, Adam (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    We describe the application of the Bradley–Terry model to NCAA Divi-sion I Men’s Ice Hockey. A Bayesian construction gives a joint posterior probabilitydistribution for the log-strength parameters, given a set of game ...
  • Multi-stage fault warning for large electric grids using anomaly detection and machine learning 

    Raja, Sanjeev; Fokoué, Ernest (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    In the monitoring of a complex electric grid, it is of paramount impor-tance to provide operators with early warnings of anomalies detected on the network,along with a precise classification and diagnosis of the specific ...
  • On a global measure of nonlinearity and its application in parameter estimation in nonlinear regression 

    Khinkis, Leonid (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    The theoretical and computational challenges in least squares estimationof parameters in nonlinear regression models are well documented in statisticalliterature. The measures of nonlinearity are intended ...
  • On the versatility and polyvalence of certain statistical learning machines 

    Fokoué, Ernest (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    As data science and its flurry of lucrative career opportunities continue to dominatestrategic planning meetings at companies and universities around the world, it isremarkable to notice that mathematics, the queen of all ...
  • An empirical demonstration of the no free lunch theorem 

    Ogundepo, Ezekiel Adebayo; Fokoué, Ernest (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    In this paper, we provide a substantial empirical demonstration of thestatistical machine learning result known as the No Free Lunch Theorem (NFLT).We specifically compare the predictive performances of a wide ...
  • Two network transformations 

    Pfaltz, John L. (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    In this paper, we study relational networks. They may be as large as socialnetworks or as small as neural networks. We employ the concepts of closure andclosure operators to describe their structures, and introduce the ...
  • Recurrences and determinantal expressions for values of the Dirichlet L-function 

    Agoh, Takashi (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    In this paper, by applying a certain Saalsch ütz–Gelfand type formulafor generalized Bernoulli numbers, we first studyshortenedrecurrence relations forthe values of the DirichletL-function attached to a ...
  • Artificial grass and genuine football: The evolution of artificial turf 

    Haugen, Kjetil K.; Heen, Knut P. (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    The article formulates, solves and draws inference from a game model in-tended to shed light on the evolution of artificial turf in professional Europeanfootball (soccer). The main results indicate that ...
  • Measuring uncertainty of outcome: An analytic approach 

    Haugen, Kjetil K. (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    This paper proposes an alternative mathematical formulation to one (am-ong many) ways of estimating uncertainty of outcome. This alternative formulationmay make such estimation processes easier for both practitioners and ...
  • On the completeness of non-symmetrical uniform convergence with some links to approach spaces 

    Leseberg, Dieter; Vaziry, Zohreh (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    The quasitopos b-UFIL of b-uniform filter spaces [16] are an appropri-ate tool for studying convergence from a higher point of view as demonstrated inrecent papers by the above mentioned authors. In addition BORN, the ...
  • Analysis of high frame-rate movies by variational methods 

    Pedone, Massimiliano; Carosio, Silvia; Ruocco, Giancarlo; Del Prete, Zaccaria (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2019)
    The object of this study was the recognition of Regions Of Interest(ROIs)in a time series of digital images of two specific laboratory experiments. It concernsthe identification of objects in a tissue surface by high-resolution ...
  • Predicting football tables by a maximally parsimonious model 

    Haugen, Kjetil K.; Owren, Brynjulf (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    This paper presents some useful mathematical results concerned with football table prediction. In addition, some empirical results indicate that an alter- native methodology for football table prediction may produce ...
  • Some new separation axioms in GenTop 

    Dourari, Khedidja; Lazaar, Sami (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    In this paper, we introduce some new separation axioms in the category of generalized topological spaces. Some characterizations of these axioms are given. Morphisms rendered invertible by the T 0 -reflection in GenTop ...
  • Expected characteristic in Tunnels & Trolls character creation, with generalizations 

    Brander, Tommi (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    In the roleplaying game Tunnels & Trolls the characteristics of player characters are determined by rolling dice in the following manner: First, one rolls three dice and calculates their sum. If the three dice ...
  • Event corruption: A game theoretic approach 

    Haugen, Kjetil K.; Solberg, Harry A. (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    This article applies economics of doping theory (game theory) to corrup- tion. Similarities and significant differences between the two topics are identified. As a consequence of such differences, the corruptive action – ...
  • The quasitopos of b-uniform filter spaces 

    Leseberg, Dieter; Vaziry, Zohreh (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    In this paper a systematic study begins of the category b-UFIL of b- uniform filter spaces and b-uniformly continuous mappings. We will show that this construct forms a quasitopos in which ...
  • On real and complex convexity 

    Abidi, Jamel (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    We show that the holomorphic differential equation k ′′ ( k + c ) = γ ( k ′ ) 2 is fundamental for the study of a special class of convex and strictly plurisubharmonic functions ( k : C → C be holomorphic and γ,c ∈ C ) . ...
  • Using the Seychelles child development study to cluster multiple outcomes into domains to improve estimation of the overall effect of mercury on neurodevelopment 

    LaLonde, A.; Love, T. (Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky, 2018)
    Environmental exposure effects on human development can be small and difficult to detect due to the nature of observational data. In the Seychelles Child Development Study, researchers examined the effect of prenatal ...

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