DocumentCode
675049
Title
A learning method for small data sets with multimodality variables
Author
Der-Chiang Li ; Yu-Ching Chang ; Mei-Lan Su ; Liang-Sian Lin
Author_Institution
Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
2013
fDate
15-17 Nov. 2013
Firstpage
481
Lastpage
483
Abstract
This paper proposes a new approach to generate virtual sample for learning small data set considering a distribution with multimodality. This modality test strategy is mainly aimed at assessing data clustering by using a hypothesis testing based on a uni-modality function. One data set is provided to check the effectiveness of the proposed approach.
Keywords
learning (artificial intelligence); pattern clustering; data clustering; hypothesis testing; learning method; modality test strategy; multimodality variables; unimodality function; Accuracy; Density functional theory; Educational institutions; Sociology; Statistics; Testing; Weibull distribution; Multimodality; Small data sets; Virtual sample generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location
Macao
ISSN
2166-9430
Print_ISBN
978-1-4673-5247-5
Type
conf
DOI
10.1109/GSIS.2013.6714832
Filename
6714832
Link To Document