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Titlebook: Machine Learning, Optimization, and Data Science; 4th International Co Giuseppe Nicosia,Panos Pardalos,Vincenzo Sciacca Conference proceedi

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Simple Learning with a Teacher via Biased Regularized Least Squares,uested to match the teacher accuracy as much as possible in a reduced feature space. In particular, in the transfer learning mode proposed by Vapnik, a method was formalized to move the knowledge from the teacher to the student. In this paper, we use biased regularized least squares as a simple yet
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Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier,et is a sample of instances (rows) by a random subset of features (variables or columns) of the original dataset to be classified. In RF, pruning is not applied in the generation of base trees and in the classification process of a new record, each tree issues a vote enabling the selected class to b
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