Confidence and prediction intervals for neural network ensembles

作者: J.G. Carney , P. Cunningham , U. Bhagwan

DOI: 10.1109/IJCNN.1999.831133

关键词:

摘要: … are of more practical use than confidence intervals for real-world applications. This is because prediction intervals are concerned with the accuracy with which we can predict the targets …

参考文章(5)
D.A. Nix, A.S. Weigend, Estimating the mean and variance of the target probability distribution world congress on computational intelligence. ,vol. 1, pp. 55- 60 ,(1994) , 10.1109/ICNN.1994.374138
John Carney, Padraig Cunningham, The NeuralBAG algorithm: optimizing generalization performance in bagged neural networks. the european symposium on artificial neural networks. pp. 135- 140 ,(1999)
Stuart Geman, Elie Bienenstock, René Doursat, Neural networks and the bias/variance dilemma Neural Computation. ,vol. 4, pp. 1- 58 ,(1992) , 10.1162/NECO.1992.4.1.1
Tom Heskes, Balancing Between Bagging and Bumping neural information processing systems. ,vol. 9, pp. 466- 472 ,(1996)
Leo Breiman, Bagging predictors Machine Learning archive. ,vol. 24, pp. 123- ,(1996) , 10.1023/A:1018054314350