E-LIB Suche - Ergebnisse für: Mantovani, Rafael G.

1

Hyper-parameter initialization of classification algorithms..:

Horváth, Tomáš ; Mantovani, Rafael G. ; de Carvalho, André C.P.L.F.
Applied Soft Computing. 134 (2023) - p. 109969 , 2023

Link: https://doi.org/10.1016/..

2

Time-Series in Hyper-parameter Initialization of Machine Le..:

, In: Intelligent Data Engineering and Automated Learning – IDEAL 2021; Lecture Notes in Computer Science,

Horváth, Tomáš ; Mantovani, Rafael G. ; de Carvalho, André C. P. L. F. - p. 246-258 , 2021

Link: https://doi.org/10.1007/..

3

Towards Meta-Learning for Multi-Target Regression Problems:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),

Aguiar, Gabriel J. ; Santana, Everton J. ; Mastelini, Saulo M... - p. 377-382 , 2019

Link: https://doi.org/10.1109/..

4

A meta-learning recommender system for hyperparameter tunin..:

Mantovani, Rafael G. ; Rossi, André L.D. ; Alcobaça, Edesio..
Information Sciences. 501 (2019) - p. 193-221 , 2019

Link: https://doi.org/10.1016/..

5

Hyper-Parameter Tuning of a Decision Tree Induction Algorit..:

, In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS),

Mantovani, Rafael G. ; Horvath, Tomas ; Cerri, Ricardo.. - p. 37-42 , 2016

Link: https://doi.org/10.1109/..

6

Learning Abstract Task Representations:

Meskhi, Mikhail M ; Rivolli, Adriano ; Mantovani, Rafael G.
http://arxiv.org/abs/2101.07852. , 2021

Link: http://arxiv.org/abs/210..

7

An Extensive Experimental Evaluation of Automated Machine L..:

Basgalupp, Márcio P ; Barros, Rodrigo C ; de Sá, Alex G. C...
http://arxiv.org/abs/2009.07430. , 2020

Link: http://arxiv.org/abs/200..

8

A meta-learning recommender system for hyperparameter tunin..:

Mantovani, Rafael G ; Rossi, André LD ; Alcobaça, Edesio..
ISSN:0020-0255. , 2019

Link: http://repository.tue.nl..

9

A meta-learning recommender system for hyperparameter tunin..:

Mantovani, Rafael G ; Rossi, Andre L. D ; Alcobaca, Edesio..
Information Sciences. , 2019

Link: http://hdl.handle.net/11..

10

A meta-learning recommender system for hyperparameter tunin..:

Mantovani, Rafael G ; Rossi, André L.D ; Alcobaça, Edesio..
Mantovani , R G , Rossi , A L D , Alcobaça , E , Vanschoren , J & de Carvalho , A C P L F 2019 , ' A meta-learning recommender system for hyperparameter tuning : Predicting when tuning improves SVM classifiers ' , Information Sciences , vol. 501 , pp. 193-221 . https://doi.org/10.1016/j.ins.2019.06.005. , 2019

Link: https://research.tue.nl/..

11

Dimensionality reduction for the algorithm recommendation p..:

Alcobaca, Edesio ; Mantovani, Rafael G ; Rossi, Andre L. D.
Proceedings - 2018 Brazilian Conference on Intelligent Systems, BRACIS 2018. , 2018

Link: http://hdl.handle.net/11..

12

OpenML Benchmarking Suites:

Bischl, Bernd ; Casalicchio, Giuseppe ; Feurer, Matthias...
http://arxiv.org/abs/1708.03731. , 2017

Link: http://arxiv.org/abs/170..

13

Effectiveness of Random Search in SVM hyper-parameter tunin:

Mantovani, Rafael G ; Rossi, Andre L. D ; Vanschoren, Joaquin...
2015 International Joint Conference On Neural Networks (ijcnn). , 2015

Link: http://hdl.handle.net/11..

14

Effectiveness of Random Search in SVM hyper-parameter tunin:

Mantovani, Rafael G ; Rossi, André L. D ; Vanschoren, Joaquin..
Proceedings of the International Joint Conference on Neural Networks. , 2015

Link: http://hdl.handle.net/11..

15

Meta-learning recommendation of default hyper-parameter val..:

Mantovani, Rafael G ; Rossi, André L. D ; Vanschoren, Joaquin.
CEUR Workshop Proceedings. , 2015

Link: http://hdl.handle.net/11..