Analysis of the complexity of the automatic pipeline generation problem
U Garciarena, R Santana… - 2018 IEEE Congress on …, 2018 - ieeexplore.ieee.org
Strategies to automatize the selection of Machine Learning algorithms and their parameters
have gained popularity in recent years, to the point of coining the term Automated Machine
Learning. The most general version of this problem is pipeline optimization, which seeks an
optimal combination of preprocessors and classifiers, along with their respective
parameters. In this paper we address the pipeline generation problem from a broader
perspective, that of problem complexity understanding as a previous step before proposing …
have gained popularity in recent years, to the point of coining the term Automated Machine
Learning. The most general version of this problem is pipeline optimization, which seeks an
optimal combination of preprocessors and classifiers, along with their respective
parameters. In this paper we address the pipeline generation problem from a broader
perspective, that of problem complexity understanding as a previous step before proposing …
Analysis of the Complexity of the Automatic Pipeline Generation Problem
U Garciarena Hualde, A Mendiburu Alberro… - 2018 - agris.fao.org
Strategies to automatize the selection of Machine Learning algorithms and their parameters
have gained popularity in recent years, to the point of coining the term Automated Machine
Learning. The most general version of this problem is pipeline optimization, which seeks an
optimal combination of preprocessors and classifiers, along with their respective
parameters. In this paper we address the pipeline generation problem from a broader
perspective, that of problem complexity understanding as a previous step before proposing …
have gained popularity in recent years, to the point of coining the term Automated Machine
Learning. The most general version of this problem is pipeline optimization, which seeks an
optimal combination of preprocessors and classifiers, along with their respective
parameters. In this paper we address the pipeline generation problem from a broader
perspective, that of problem complexity understanding as a previous step before proposing …
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