Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alisson S. C. Alencar"'
Publikováno v:
IEEE Signal Processing Letters. 29:962-966
Publikováno v:
Applied Soft Computing. 44:101-107
Graphical abstractDisplay Omitted HighlightsWe propose a pruning method for ELM using genetic algorithms (GA).Our proposal estimates the leave-one-out (LOO) error using the PRESS statistic.Our proposal, called GAP-ELM, was tested on 7 real world data
Autor:
Alisson S. C. Alencar, Nykolas Mayko Maia Barbosa, João P. P. Gomes, Diego Farias de Oliveira, Leonardo Ramos Rodrigues
Publikováno v:
BRACIS
Solving regression problems with interval-valued datasets is a challenging task that may arise in many real world applications. Motivated by that fact, many researchers have proposed nonlinear regression methods to handle interval-valued data in rece
Autor:
Rossana M. C. Andrade, Weslley L. Caldas, Alisson S. C. Alencar, Paulo Armando Cavalcante Aguilar, Cristiano Rodrigues, João P. P. Gomes, Amauri H. Souza, Miguel Franklin de Castro, Wellington Franco
Publikováno v:
BRACIS
Ranking is an important task in information retrieval and has gained much attention in recent years. Among the most used strategies, machine learning has achieved important results. The current work proposes a new machine learning based ranking algor
Autor:
Miguel Franklin de Castro, Rossana M. C. Andrade, Lívio A. M. Freire, Alisson S. C. Alencar, José Wellington Franco da Silva, João P. P. Gomes, Amauri H. Souza
Publikováno v:
BRACIS
Short-text classification is a challenging natural language processing problem. Beyond classification accuracy, another issue refers to the dimensionality of the feature vectors used for classification. This is especially important for embedded appli