Motivated by the significant advances in integer optimization in the past decade, we introduce mixed-integer optimization methods to the classical statistical problems of classification and regression ...

Workflow for cell classification project. The steps include gathering data sets, training the model, evaluating the performance, and implementing a final progression tool for the invasiveness of the ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...

This article investigates a computationally simple variant of boosting, L₂Boost, which is constructed from a functional gradient descent algorithm with the L₂-loss function. Like other boosting ...