Our main contribution is the development of a new soft sparse multinomial logistic regression model which exploits both hard and ... The proposed algorithm represents an innovative contribution with ...

If the dependent variable is not ordinal, a multinomial logistic model will be the most natural choice. If the dependent variable is ordinal, we can choose ordinal logistic regression if the ...

R-codebase for a scientific research article, titled "Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework" ...

New experimental data on solid–liquid equilibrium (SLE) phase diagrams for binary systems {(−)-menthol ... Modeling of SLE in the investigated mixtures with three modern thermodynamic models, namely, ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...