John E. Moody

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

Coauthor Index

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

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)