2 papers
stat.ML2026
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…
stat.ML2026
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…