John E. Moody

1999
18	EE	Howard Hua Yang, John E. Moody: Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. NIPS 1999: 687-702
17	EE	Yuansong Liao, John E. Moody: Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting. NIPS 1999: 921-927
1998
16		John E. Moody, Matthew Saffell: Reinforcement Learning for Trading Systems and Portfolios. KDD 1998: 279-283
15	EE	John E. Moody, Matthew Saffell: Reinforcement Learning for Trading. NIPS 1998: 917-923
1996
14	EE	John E. Moody, Thorsteinn S. Rögnvaldsson: Smoothing Regularizers for Projective Basis Function Networks. NIPS 1996: 585-591
13	EE	Lizhong Wu, John E. Moody: Multi-effect Decompositions for Financial Data Modeling. NIPS 1996: 995-1004
12	EE	John E. Moody: Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions. Neural Networks: Tricks of the Trade 1996: 347-371
1995
11	EE	Lizhong Wu, John E. Moody: A Smoothing Regularizer for Recurrent Neural Networks. NIPS 1995: 458-464
1993
10	EE	Asriel U. Levin, Todd K. Leen, John E. Moody: Fast Pruning Using Principal Components. NIPS 1993: 35-42
1992
9		John E. Moody, Stephen Jose Hanson, Richard Lippmann: Advances in Neural Information Processing Systems 4, [NIPS Conference, Denver, Colorado, USA, December 2-5, 1991] Morgan Kaufmann 1992
8	EE	Todd K. Leen, John E. Moody: Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. NIPS 1992: 451-458
1991
7		Richard Lippmann, John E. Moody, David S. Touretzky: Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990] Morgan Kaufmann 1991
6	EE	Christian Darken, John E. Moody: Towards Faster Stochastic Gradient Search. NIPS 1991: 1009-1016
5	EE	John E. Moody, Joachim Utans: Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. NIPS 1991: 683-690
4	EE	John E. Moody: The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems. NIPS 1991: 847-854
1990
3	EE	Christian Darken, John E. Moody: Note on Learning Rate Schedules for Stochastic Optimization. NIPS 1990: 832-838
1989
2	EE	Alex Chernajvsky, John E. Moody: Note on Development of Modularity in Simple Cortical Models. NIPS 1989: 133-140
1988
1	EE	John E. Moody: Fast Learning in Multi-Resolution Hierarchies. NIPS 1988: 29-39

Coauthor Index

1	Alex Chernajvsky	[2]
2	Christian Darken	[3] [6]
3	Stephen Jose Hanson	[9]
4	Todd K. Leen	[8] [10]
5	Asriel U. Levin	[10]
6	Yuansong Liao	[17]
7	Richard Lippmann	[7] [9]
8	Thorsteinn S. Rögnvaldsson	[14]
9	Matthew Saffell	[15] [16]
10	David S. Touretzky	[7]
11	Joachim Utans	[5]
12	Lizhong Wu	[11] [13]
13	Howard Hua Yang	[18]

Colors in the list of coauthors