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A meta-learning recommender system for hyperparameter tuning: predicting
  when tuning improves SVM classifiers
v1v2 (latest)

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
A. Carvalho
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
Title
Meta-learning in healthcare: A survey
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
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
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
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
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
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
1