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How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms
SVM with an RBF kernel is usually one of the best classification algorit...
08/26/2020 ∙ by Jacques Wainer, et al. ∙
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An empirical evaluation of imbalanced data strategies from a practitioner's point of view
This research tested the following well known strategies to deal with bi...
10/16/2018 ∙ by Jacques Wainer, et al. ∙
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Nested cross-validation when selecting classifiers is overzealous for most practical applications
When selecting a classification algorithm to be applied to a particular ...
09/25/2018 ∙ by Jacques Wainer, et al. ∙
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Specialized Support Vector Machines for open-set recognition
Often, when dealing with real-world recognition problems, we do not need...
06/13/2016 ∙ by Pedro Ribeiro Mendes Júnior, et al. ∙
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Comparison of 14 different families of classification algorithms on 115 binary datasets
We tested 14 very different classification algorithms (random forest, gr...
06/02/2016 ∙ by Jacques Wainer, et al. ∙
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Flexible Modeling of Latent Task Structures in Multitask Learning
Multitask learning algorithms are typically designed assuming some fixed...
06/27/2012 ∙ by Alexandre Passos, et al. ∙
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