Abstract: The inductive miner, a popular process discovery algorithm, issues a workflow net (WN) model by translation of an intermediate process tree (PT) representation, obtained from the considered ...

Step-by-step process tutorial on how to draw superheroes—from sketching dynamic poses to adding powerful details and bold costumes for iconic characters. Trump administration looking to sell nearly ...

Stochastic differential equations (SDEs) provide a foundational framework for modelling systems subject to randomness, incorporating both continuous fluctuations and abrupt changes. In recent decades ...

Affine processes provide a versatile framework for modelling complex financial phenomena, ranging from interest rate dynamics to credit risk and beyond. Their defining characteristic is the affine, or ...

In the '8_sgd_vs_gd' folder, the 'gd_and_sgd.ipynb' file, there is a logic flaw in the Stochastic Gradient Descent code, Since for SGD, it uses 1 randomly selected ...

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...

Ebi is a tool and library that focuses on stochastic process mining algorithms. Ebi is available as a command-line utility, as a ProM plug-in and as a Python package. More information on its use can ...

Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. To accurately assess the ...

ABSTRACT: This paper concerns the compactness and separability properties of the normed Boolean algebras (N.B.A.) with respect to topology generated by a distance equal to the square root of a measure ...

ABSTRACT: The mathematical theory of ranked-choice voting is reviewed, with particular focus on Condorcet, Plurality, and Borda Count methods. Maximizing the Borda Count score is shown to be ...

In this presentation I will introduce a multilevel Ornstein-Uhlenbeck stochastic process model, cast in the Bayesian statistical framework, for capturing time dynamics of emotion experiences in daily ...