| Full text | |
| Author(s): |
Saito, Priscila T. M.
[1]
;
Nakamura, Rodrigo Y. M.
[2]
;
Amorim, Willian P.
[3]
;
Papa, Joao P.
[4]
;
de Rezende, Pedro J.
[5]
;
Falcao, Alexandre X.
[5]
Total Authors: 6
|
| Affiliation: | [1] Univ Tecnol Fed Parana, Dept Comp, Cornelio Procopio - Brazil
[2] Big Data Brazil, Sao Paulo, SP - Brazil
[3] Univ Fed Mato Grosso do Sul, Inst Comp, Campo Grande - Brazil
[4] Sao Paulo State Univ, Dept Comp, Bauru - Brazil
[5] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | PLoS One; v. 10, n. 6 JUN 26 2015. |
| Web of Science Citations: | 3 |
| Abstract | |
Nowadays, large datasets are common and demand faster and more effective pattern analysis techniques. However, methodologies to compare classifiers usually do not take into account the learning-time constraints required by applications. This work presents a methodology to compare classifiers with respect to their ability to learn from classification errors on a large learning set, within a given time limit. Faster techniques may acquire more training samples, but only when they are more effective will they achieve higher performance on unseen testing sets. We demonstrate this result using several techniques, multiple datasets, and typical learning-time limits required by applications. (AU) | |
| FAPESP's process: | 14/16250-9 - On the parameter optimization in machine learning techniques: advances and paradigms |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/14058-5 - Exploring Sequential Learning Approaches for Optimum-Path Forest |
| Grantee: | Rodrigo Yuji Mizobe Nakamura |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 13/20387-7 - Hyperparameter optimization in deep learning arquitectures |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 07/52015-0 - Approximation methods for visual computing |
| Grantee: | Jorge Stolfi |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 12/18768-0 - Multiscale Classification By Using Optimum Path-Forest |
| Grantee: | Jefersson A dos Santos |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |