MULTI-LEARNER BASED RECURSIVE SUPERVISED TRAINING
Published in International Journal of Computational Intelligence and Applications • Sep 1, 2006
NobleIDNI0P45W08R17S07
Authors:,,
Laxmi Iyer
Kiruthika Ramanathan
Sheng-Uei Guan
Abstract
In this paper, we propose the multi-learner based recursive supervised training (MLRT) algorithm, which uses the existing framework of recursive task decomposition, by training the entire dataset, picking out the best learnt patterns, and then repeating the process with the remaining patterns. Inste...
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