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JIFS
2008
155views more  JIFS 2008»
13 years 5 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
EATIS
2007
ACM
13 years 9 months ago
Techniques for location selection on a mobile device
In the current paper we present a field comparison of techniques for selecting one's current location in mobile locationbased systems. Four location selection techniques are ...
Mika Luimula, Kirsti Sääskilahti, Timo P...
CHI
2008
ACM
14 years 5 months ago
Generalized selection via interactive query relaxation
Selection is a fundamental task in interactive applications, typically performed by clicking or lassoing items of interest. However, users may require more nuanced forms of select...
Jeffrey Heer, Maneesh Agrawala, Wesley Willett
FOGA
1990
13 years 6 months ago
A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
This paper considers a number of selection schemes commonly used in modern genetic algorithms. Specifically, proportionate reproduction, ranking selection, tournament selection, a...
David E. Goldberg, Kalyanmoy Deb
CIMCA
2005
IEEE
13 years 11 months ago
Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms
This paper presents the comparison of performance on a simple genetic algorithm (SGA) using roulette wheel selection and tournament selection. A SGA is mainly composed of three ge...
Jinghui Zhong, Xiaomin Hu, Jun Zhang, Min Gu