- author = "R. I. (Bob) McKay and Hussein A. Abbass",
- journal = "The Australian Journal of Intelligent Information Processing Systems",
- number = "3/4",
- pages = "139--149",
- title = "Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning",
-
URL = "
http://sc.snu.ac.kr/PAPERS/AJIIPS_anticorr.pdf",
- volume = "7",
- year = "2001",
- keywords = "genetic algorithms, genetic programming, Anticorrelation, Artificial Neural Networks, committee learning, Ensemble learning, fitness sharing, diversity",
- abstract = "Anticorrelation has been used in training neural network ensembles. Negative correlation learning (NCL) is the state of the art anticorrelation measure. We present an alternative anticorrelation measure, RTQRTNCL, which shows significant improvements on our test examples for both artificial neural networks (ANN) and genetic programming (GP) learning machines. We analyse the behaviour of the negative correlation measure and derive a theoretical explanation of the improved performance of RTQRTNCL in larger ensembles.",
-
notes = "ANN UCI Australian credit card. GP 6-mux. Ensemble of
4 single hidden layer backprop perceptrons.
",
