@inproceedings{f070ec875c814cb787bdcde078c72a5d,
title = "Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors",
abstract = "The present work studies an application of typical testors to reduce the space of characteristics used as inputs in statistical models to recognize a manuscript digit from its corresponding binary image. The fundamentals of typical testors are described, and the use of logistic and multilogistic regression models in the predictions. Images from the public database of the Semeion Research Center of Sciences of Communication are used. Adequate prediction results were achieved in a reduced space of characteristics.",
keywords = "Logistic regression, Number recognition algorithm, Stochastic algorithms, Typical testor",
author = "Kuntur Muenala and Julio Ibarra-Fiallo and Monserrate Intriago-Pazmi{\~n}o",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; World Conference on Information Systems and Technologies, WorldCIST 2019 ; Conference date: 16-04-2019 Through 19-04-2019",
year = "2019",
doi = "10.1007/978-3-030-16181-1_82",
language = "Ingl{\'e}s",
isbn = "9783030161804",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "875--885",
editor = "Reis, {Lu{\'i}s Paulo} and Sandra Costanzo and Hojjat Adeli and {\'A}lvaro Rocha",
booktitle = "New Knowledge in Information Systems and Technologies - Volume 1",
}