IEEE - Institute of Electrical and Electronics Engineers, Inc. - To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning

2015 International Joint Conference on Neural Networks (IJCNN)

Author(s): Rafael G. Mantovani ; Andre L. D. Rossi ; Joaquin Vanschoren ; Bernd Bischl ; Andre C. P. L. F. Carvalho
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2015
Conference Location: Killarney, Ireland
Conference Date: 12 July 2015
Page(s): 1 - 8
ISBN (Electronic): 978-1-4799-1960-4
ISBN (DVD): 978-1-4799-1959-8
ISSN (Electronic): 2161-4407
DOI: 10.1109/IJCNN.2015.7280644
Regular:

Many classification algorithms, such as Neural Networks and Support Vector Machines, have a range of hyper-parameters that may strongly affect the predictive performance of the models induced by... View More

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