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cs.LG2020
A stochastic approach to handle knapsack problems in the creation of ensembles
Andras Hajdu, Gyorgy Terdik, Attila Tiba +1
Ensemble-based methods are highly popular approaches that increase the accuracy of a decision by aggregating the opinions of individual voters. The common point is to maximize accu…
cs.LG2020
Efficient Learning of Model Weights via Changing Features During Training
Marcell Beregi-Kovács, Ágnes Baran, András Hajdu
In this paper, we propose a machine learning model, which dynamically changes the features during training. Our main motivation is to update the model in a small content during the…