SANTUCCI , Enrica

Randomization-based techniques for classifier ensemble construction, like Bagging and Random Forests, are well known and widely used. They consist of independently training the ensemble members on random perturbations of the training data or random changes of the learning algorithm. We argue that randomization techniques can be defined also by...