4 papers
On Generalized Naive Bayes with Continuous Features
Ábrahám Papp, Botond Szilágyi, Edith Alice Kovács
The Generalized Naive Bayes (GNB) model was introduced for discrete and categorical random variables as an extension of classic Naive Bayes. We now accommodate the GNB framework to…
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…