@InProceedings{SarmentoErthDutr:2013:ReCoDa,
author = "Sarmento, Peterson Lima and Erthal, Guaraci Jos{\'e} and Dutra,
Luciano Vieira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Redu{\c{c}}{\~a}o do conjunto de dados de treinamento para
melhorar a efici{\^e}ncia do classificador SVM",
booktitle = "Anais...",
year = "2013",
organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE,
13. (WORCAP)",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The Support Vector Machine classifier (SVM), a classifier that
basically uses training data near the decision boundary is often
used due to its good performance. A disadvantage of this method is
the increase training time of the classifier as the training set
size increases. The purpose of this paper is to apply techniques
to reduce the training set size preserving the classification
accuracy. The techniques used are editing, multiediting and
condensing of data, already applied in data reduction for
k-nearest neighbor method (k-NN), which is also a classifier that
operates on the data near the border separating classes. It is
expected that accuracy with reduced data sets and there is gain in
time to estimate the classifier parameters.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "13-14 nov. 2013",
label = "lattes: 4896052217878979 1 SantosSantVija:2013:AlTrUM",
language = "pt",
ibi = "8JMKD3MGP3W/49N6542",
url = "http://urlib.net/ibi/8JMKD3MGP3W/49N6542",
targetfile = "Sarmento_reducao.pdf",
url = "http://www.lac.inpe.br/worcap2013/programacao.php",
urlaccessdate = "08 maio 2024"
}