Ensemble learning in Bayesian neural networks

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49.2K citations

Statistical Signal Processing, Mixture Distribution, Engineering +13

Neural networks for pattern recognition

Choice Reviews Online · 1994 · 18.7K citations

Recurrent Neural Network, Engineering, Machine Learning +11

Hybrid Monte Carlo

S Duane, A.D. Kennedy, B.J. Pendleton et al. · Physics Letters B · 1987 · 3.8K citations

Engineering, Monte Carlo, Monte Carlo Method +4

An Introduction to Variational Methods for Graphical Models

Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola et al. · Machine Learning · 1999 · 3.7K citations · Full text

Journal of the Royal Statistical Society (B)

Robert Fildes · International Journal of Forecasting · 1993 · 3.5K citations

Statistical Review, Statistical Foundation, Statistical Inference +3