@InProceedings{MartinsJrCesaBarr:2004:WoWiDe,
author = "Martins Junior, David Correa and Cesar Junior, Roberto Marcondes
and Barrera, Junior",
affiliation = "{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica -
Universidade de S{\~a}o Paulo}",
title = "W-operator window design by maximization of training data
information",
booktitle = "Proceedings...",
year = "2004",
editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl
and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17.
(SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2
(SIACG)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "w-operator, feature selection, mean conditional entropy.",
abstract = "This paper presents a technique that gives a minimal window W for
the estimation of a W-operator from training data. The idea is to
choose a subset of variables W that maximizes the information
observed in a set of training data. The task is formalized as a
combinatorial optimization problem, where the search space is the
powerset set of the candidate variables and the measure to be
minimized is the mean entropy of the estimated conditional
probabilities. As a full exploration of the search space requires
an enormous computational effort, some heuristics of the feature
selection literature are applied. The proposed technique is
mathematically sound and experimental results show that it is
adequate in practice.",
conference-location = "Curitiba, PR, Brazil",
conference-year = "17-20 Oct. 2004",
doi = "10.1109/SIBGRA.2004.1352957",
url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352957",
language = "en",
ibi = "6qtX3pFwXQZeBBx/CTFwD",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/CTFwD",
targetfile = "4412_Martins_D.pdf",
urlaccessdate = "2024, Apr. 29"
}