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Step-by-Step Learning
  • Andrés M. Alonso
Andrés M. Alonso
Universidad Carlos III de Madrid

Corresponding Author:[email protected]

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Abstract

The natural or generational learning process consists of building models based on available experiences. Each generation learns from the models obtained by its predecessors and gets a new model for its own batch of experiences. In this note, we discuss this step-by-step learning procedure for supervised classification and regression problems on large datasets. We show that the stepwise learning procedure performs competitively with respect to the approach that uses a single model for the entire dataset.