When Networks Disagree: Ensemble Methods for Hybrid Neural Networks (1993)

Cached

Download Links

by Michael P. Perrone , Leaon N. Cooper
Citations:290 - 2 self

Documents Related by Co-Citation

2479 Bagging Predictors – Leo Breiman, Leo Breiman - 1996
500 Neural network ensembles – L K Hansen, P Salamon - 1990
769 Adaptive mixtures of local experts – R A Jacobs, M I Jordan, S J Nowlan, G E Hinton - 1991
667 The strength of weak learnability – Robert E. Schapire - 1990
385 Neural Network Ensembles, Cross Validation, and Active Learning – Anders Krogh, Jesper Vedelsby - 1995
550 Stacked generalization – David H. Wolpert - 1992
308 Stacked regressions – L Breiman - 1996
723 Hierarchical mixtures of experts and the EM algorithm – Michael I. Jordan - 1994
3874 Classification and Regression Trees – L Breiman, J H Friedman, R A Olshen, C J Stone - 1984
3917 Pattern Classification and Scene Analysis – R O Duda, P Hart - 1973
607 Neural networks and the bias/variance dilemma – S Geman, E Bienenstock, R Doursat, Jan - 1992
139 Methods for combining experts probability assessment – R A Jacobs - 1995
105 Generating Accurate and Diverse Members of a Neural-Network Ensemble – David W. Opitz, Jude W. Shavlik - 1996
2307 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1997
1625 Experiments with a New Boosting Algorithm – Yoav Freund, Robert E. Schapire - 1996
4905 C4.5: Programs for Machine Learning – J R Quinlan - 1993
2709 Learning internal representations by error propagation – D E Rumelhart, G E Hinton, R J Williams - 1986
52 A novel objective function for improved phoneme recognition using time-delay neural networks – J B Hampshire, A H Waibel - 1990
77 Boosting and other ensemble methods – H Drucker, C Cortes, L Jackel, Y LeCun, V Vapnik - 1994