A meta-learning recommender system for hyperparameter tuning: predicting
when tuning improves SVM classifiers

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A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers

4 June 2019

R. G. Mantovani

André Luis Debiaso Rossi

Edesio Alcobaça

Joaquin Vanschoren

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Papers citing "A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers"

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Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 98 9 0 05 Aug 2023
Automatic learning algorithm selection for classification via convolutional neural networks S. Maldonado Carla Vairetti Ignacio Figueroa 92 0 0 16 May 2023
Constructing a meta-learner for unsupervised anomaly detection M. Gutowska Suzanne Little A. Mccarren 29 3 0 22 Apr 2023
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters R. G. Mantovani André Luis Debiaso Rossi Edesio Alcobaça J. C. Gertrudes Sylvio Barbon Junior A. Carvalho 57 11 0 31 Jul 2020
Towards meta-learning for multi-target regression problems G. Aguiar E. J. Santana S. Mastelini R. G. Mantovani Sylvio Barbon Junior 13 6 0 25 Jul 2019
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms R. G. Mantovani Tomáš Horváth André L. D. Rossi R. Cerri Sylvio Barbon Junior Joaquin Vanschoren A. Carvalho 58 41 0 05 Dec 2018