Publications

Found 11 results
Author Title Type [ Year(Desc)]
Filters: First Letter Of Title is S and Author is John Moody  [Clear All Filters]
1984
Krauss, L.. M., Moody J., & Wilczek F. (1984).  A Stellar Energy Loss Mechanism Involving Axions. 144B,
1990
Chernjavsky, A., & Moody J. (1990).  Spontaneous Development of Modularity in Simple Cortical Models. 2(3), 334-354.
1991
Utans, J., & Moody J. (1991).  Selecting Neural Network Architecture via the Prediction Risk: Application to Corporate Bond Rating Prediction. Proceedings of the First International Conference on Artificial Intelligence Applications on Wall Street.
1994
Moody, J., & Wu L. (1994).  Statistical Analysis and Forecasting of High Frequency Foreign Exchange Rates. Proceedings of the Neural Networks in the Capital Markets Conference.
1995
Utans, J., Moody J., Rehfuss S., & Siegelmann H.. (1995).  Selecting Input Variables via Sensitivity Analysis: Application to Predicting the U.S. Business Cycle. Proceedings of Computational Intelligence in Financial Engineering (IEEE IAFE 1995).
Moody, J., & Wu L. (1995).  Statistical Analysis of Tick-by-tick Foreign Exchange Data. Proceedings of the High Frequency Data in Finance Conference.
1996
Wu, L., & Moody J. (1996).  A Smoothing Regularizer for Feedforward and Recurrent Neural Networks. Neural Computation. 8,
1997
Moody, J., & Rögnvaldsson T. S. (1997).  Smoothing Regularizers for Projective Basis Function Networks.
Leen, T. K., & Moody J. (1997).  Stochastic Manhattan Learning: Time-Evolution Operator for the Ensemble Dynamics.
2003
Fang, Y.., Wada S.., & Moody J. (2003).  Stock Returns: Momentum, Volatility and Interest Rates. Proceedings of Computational Intelligence in Financial Engineering.
2004
Moody, J., Liu Y., Saffell M., & Youn K. (2004).  Stochastic Direct Reinforcement: Application to Simple Games with Recurrence. Proceedings of the 2004 AAAI Fall Symposium on Artificial Multiagent Learning. 23-34.