Balanced Ensemble Learning with Adaptive Bounds
2015 IEEE International Conference on Signal Processing, Communications and Computing(ICSPCC 2015)——In this paper, two error bounds are introduced in negative correlation learning. One is the upper bound of error output (UBEO) which divides the training data into two groups. The other is the lower bound of error rate (LBER) which is set as a switch.
关键词： negative correlation learning;error bound;decision boundary 2015 IEEE International Conference on Signal Processing, Com
主讲人：Prof. Yong Liu 机构：The University of Aizu, Japan
时长：0:20:18 年代：2015年
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