John E. Moody

Publication Activity (10 Years)

Years Active: 1988-2004
Publications (10 Years): 0

Publications

John E. Moody, Yufeng Liu, Matthew Saffell, Kyoungju Youn
Stochastic Direct Reinforcement: Application to Simple Games with Recurrence. AAAI Technical Report (2) (2004)
Yue Fang, Sakae Wada, John E. Moody
Stock returns: momentum, volatility and interest rates. CIFEr (2003)
John E. Moody, Matthew Saffell
Learning to trade via direct reinforcement. IEEE Trans. Neural Networks 12 (4) (2001)
Yuansong Liao, John E. Moody
Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting. NIPS (1999)
Howard Hua Yang, John E. Moody
Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. NIPS (1999)
John E. Moody, Matthew Saffell
Reinforcement Learning for Trading. NIPS (1998)
John E. Moody, Matthew Saffell
Reinforcement Learning for Trading Systems and Portfolios. KDD (1998)
John E. Moody, Lizhong Wu
What is the "true price"? state space models for high frequency FX data. CIFEr (1997)
John E. Moody, Lizhong Wu
Optimization of trading systems and portfolios. CIFEr (1997)
John E. Moody, Thorsteinn S. Rögnvaldsson
Smoothing Regularizers for Projective Basis Function Networks. NIPS (1996)
Lizhong Wu, John E. Moody
A Smoothing Regularizer for Feedforward and Recurrent Neural Networks. Neural Comput. 8 (3) (1996)
Lizhong Wu, John E. Moody
Multi-effect Decompositions for Financial Data Modeling. NIPS (1996)
Lizhong Wu, John E. Moody
A Smoothing Regularizer for Recurrent Neural Networks. NIPS (1995)
Joachim Utans, John E. Moody, Steven Rehfuss, Hava T. Siegelmann
Input variable selection for neural networks: application to predicting the U.S. business cycle. CIFEr (1995)
John E. Moody, Lizhong Wu
Price behavior and Hurst exponents of tick-by-tick interbank foreign exchange rates. CIFEr (1995)
Asriel U. Levin, Todd K. Leen, John E. Moody
Fast Pruning Using Principal Components. NIPS (1993)
Todd K. Leen, John E. Moody
Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. NIPS (1992)
John E. Moody, Joachim Utans
Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. NIPS (1991)
John E. Moody
The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems. NIPS (1991)
Christian Darken, John E. Moody
Towards Faster Stochastic Gradient Search. NIPS (1991)
Christian J. Darken, John E. Moody
Fast adaptive k-means clustering: some empirical results. IJCNN (1990)
Christian Darken, John E. Moody
Note on Learning Rate Schedules for Stochastic Optimization. NIPS (1990)
Alex Chernajvsky, John E. Moody
Note on Development of Modularity in Simple Cortical Models. NIPS (1989)
John E. Moody, Christian J. Darken
Fast Learning in Networks of Locally-Tuned Processing Units. Neural Comput. 1 (2) (1989)
John E. Moody
Fast Learning in Multi-Resolution Hierarchies. NIPS (1988)
John E. Moody, Christian Darken
Speedy alternatives to back propagation. Neural Networks 1 (Supplement-1) (1988)