Random Forests toolbox with scilab and its application

Author

Wang, Ying ; Liu, Lin ; Cao, Jianguo ; Feng, Kai ; Fu, Jinglei ; Li, Chao

Author_Institution

Dept. of Autom., Xiamen Univ., Xiamen, China

fYear

2012

fDate

14-17 July 2012

Firstpage

1082

Lastpage

1085

Abstract

Scilab is the famous open source software. Scilab has been extensively received and it has been designed a open system. So scilab is a good platform to develop some useful toolbox. Random Forests is an excellent machine learning algorithm. It is efficient to process large data and can solve unbalanced classification problems. It has been used widely. While because of some disadvantages, the current toolboxes are not popular. In this paper, we develop a toolbox of Random Forests with scilab. We test its performance and apply it to handwritten numeral recognition. The objective of this work is to promote the toolbox and facilitate more users.

Keywords

handwritten character recognition; learning (artificial intelligence); mathematics computing; pattern classification; public domain software; Scilab; handwritten numeral recognition; machine learning algorithm; open source software; random forests toolbox; unbalanced classification problems; Educational institutions; Feature extraction; Handwriting recognition; Open source software; Radio frequency; Training; Vegetation; Random Forests; Scilab; Toolbox;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2012 7th International Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-0241-8

Type

conf

DOI

10.1109/ICCSE.2012.6295251

Filename

6295251