| Full text | |
| Author(s): |
Werneck, Rafael de Oliveira
;
de Almeida, Waldir Rodrigues
;
Stein, Bernardo Vecchia
;
Pazinato, Daniel Vatanabe
;
Mendes Junior, Pedro Ribeiro
;
Bizetto Penatti, Otavio Augusto
;
Rocha, Anderson
;
Torres, Ricardo da Silva
Total Authors: 8
|
| Document type: | Journal article |
| Source: | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE; v. 78, p. 18-pg., 2018-01-01. |
| Abstract | |
In this work, we propose Kuaa, a workflow-based framework that can be used for designing, deploying, and executing machine learning experiments in an automated fashion. This framework is able to provide a standardized environment for exploratory analysis of machine learning solutions, as it supports the evaluation of feature descriptors, normalizers, classifiers, and fusion approaches in a wide range of tasks involving machine learning. Kuaa also is capable of providing users with the recommendation of machine-learning workflows. The use of recommendations allows users to identify, evaluate, and possibly reuse previously defined successful solutions. We propose the use of similarity measures (e.g., Jaccard, Sorensen, and Jaro-Winkler) and learning-to-rank methods (LRAR) in the implementation of the recommendation service. Experimental results show that Jaro-Winkler yields the highest effectiveness performance with comparable results to those observed for LRAR, presenting the best alternative machine learning experiments to the user. In both cases, the recommendations performed are very promising and the developed framework might help users in different daily exploratory machine learning tasks. (C) 2017 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes |
| Grantee: | Ricardo da Silva Torres |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support Opportunities: | Research Program on Global Climate Change - University-Industry Cooperative Research (PITE) |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 16/18429-1 - A bag-of-graphs approach for cross-modal representations |
| Grantee: | Rafael de Oliveira Werneck |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 15/19222-9 - DejaVu: social media forensics for interpreting criminal events |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Scholarships abroad - Research |