5 papers
From Data to Action: Accelerating Refinery Optimization with AI
Dániel Pfeifer, Ábrahám Papp, Tibor Bernáth +4
Nowadays refinery optimization utilizes sheer amounts of data, which can be handled with modern Linear Programming (LP) software, but the interpreting and applying the results rema…
Trunc-Opt vine building algorithms
Dániel Pfeifer, Edith Alice Kovács
Vine copula models have become highly popular and practical tools for modelling multivariate probability distributions due to their flexibility in modelling different kinds of depe…
Generalized Naive Bayes
Edith Alice Kovács, Anna Ország, Dániel Pfeifer +1
In this paper we introduce the so-called Generalized Naive Bayes structure as an extension of the Naive Bayes structure. We give a new greedy algorithm that finds a good fitting Ge…
Calculating the maximum number of maximum cliques for simple graphs
Dániel Pfeifer
A simple graph on vertices may contain a lot of maximum cliques. But how many can it potentially contain? We will define prime and composite graphs, and we will show that if $n…
Matrix and graph representations of vine copula structures
Dániel Pfeifer, Edith Alice Kovács
Vine copulas can efficiently model multivariate probability distributions. This paper focuses on a more thorough understanding of their structures, since in the literature, vine co…