The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems (1992)

by John E. Moody
Citations:169 - 2 self

Active Bibliography

8 A Theory of Cross-Validation Error – Peter Turney - 1993
73 Prediction risk and architecture selection for neural networks – John Moody - 1994
66 Constructive Algorithms for Structure Learning in Feedforward Neural Networks for Regression Problems – Tin-yau Kwok, Dit-Yan Yeung - 1997
the Index of Industrial Production – Joachim Utans, John Moody, Steve Rehfuss, Hava Siegelmannt
21 Design of Neural Network Filters – Jan Larsen - 1993
9 Model selection using wavelet decomposition and applications – Anestis Antoniadis, Irene Gijbels, Gerard Gregoire - 1997
of Philosophy. – From A Few Projections, Jeffrey Allen Fessler, Dwight Nishimura, Thomas Binford - 1999
On the Use of Marginal Likelihood in Model Selection – Peide Shi, P. R. China, Chih-ling Tsai
24 What size neural network gives optimal generalization? convergence properties of backpropagation – Steve Lawrence, C. Lee Giles, Ah Chung Tsoi - 1996
Architecture Selection Strategies for Neural Networks: Application to Corporate Bond Rating Prediction – John Wiley, John Moody, Joachim Utans - 1995
Gaussian regression – Xavier Gendre - 2008
Probab. Theory Relat. Fields DOI 10.1007/s00440-006-0011-8 Minimal penalties for Gaussian model selection – Lucien Birgé, Pascal Massart, L. Birgé, P. Massart (b - 2004
Empirical Likelihood Based Variable Selection – Asokan Mulayath Variyath, Jiahua Chen, Bovas Abraham
23 A SELECTIVE OVERVIEW OF VARIABLE SELECTION IN HIGH DIMENSIONAL FEATURE SPACE – Jianqing Fan, Jinchi Lv - 2010
Model Selection in the Presence of Incidental Parameters ∗ – Yoonseok Lee - 2012
Gaussian mixtures – Cathy Maugis Bertr, Thème Cog, Cathy Maugis, Inria Futurs, Projet Select, Université Paris-sud
1 Equities, Credits and Volatilities: A Multivariate Analysis of the European Market During the Sub-prime Crisis – Irene Schreiber, Gernot Müller, Claudia Klüppelberg, Niklas Wagner - 2009
4 On Model Selection in Robust Linear Regression – Guoqi Qian, Hans R. Künsch - 1996
32 Statistical Themes and Lessons for Data Mining – Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth - 1997