Found 70 results
Author [ Title(Desc)] Type Year
Filters: Author is John Moody  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Moody, J., & Saffell M. (1999).  Reinforcement Learning for Trading. Advances in Neural Information Processing Systems 11.
Moody, J., & Saffell M. (1998).  Reinforcement Learning for Trading: Immediate vs. Future Rewards. Knowledge Discovery and Datamining, Proceedings of the 1998 New York Conference.
Moody, J., Saffell M., Liao Y., & Wu L. (1998).  Reinforcement Learning for Trading Systems and Portfolios. Decision Technologies for Computational Finance, Proceedings of the London Conference.
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).
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.
Wu, L., & Moody J. (1996).  A Smoothing Regularizer for Feedforward and Recurrent Neural Networks. Neural Computation. 8,
Moody, J., & Rögnvaldsson T. S. (1997).  Smoothing Regularizers for Projective Basis Function Networks.
Chernjavsky, A., & Moody J. (1990).  Spontaneous Development of Modularity in Simple Cortical Models. 2(3), 334-354.
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.
Moody, J., & Wu L. (1995).  Statistical Analysis of Tick-by-tick Foreign Exchange Data. Proceedings of the High Frequency Data in Finance Conference.
Krauss, L.. M., Moody J., & Wilczek F. (1984).  A Stellar Energy Loss Mechanism Involving Axions. 144B,
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.
Leen, T. K., & Moody J. (1997).  Stochastic Manhattan Learning: Time-Evolution Operator for the Ensemble Dynamics.
Fang, Y.., Wada S.., & Moody J. (2003).  Stock Returns: Momentum, Volatility and Interest Rates. Proceedings of Computational Intelligence in Financial Engineering.
Moody, J., & Hendel R.. H. (1982).  Temperature Profiles Induced by a Scanning CW Laser Beam. 53(6), 4364-4371.
Moody, J., & Yang H. Hua (2000).  Term Structure of Interactions of Foreign Exchange Rates.
Darken, C., & Moody J. (1992).  Towards Faster Stochastic Gradient Search. 4,
Rehfuss, S., Wu L., & Moody J. (1996).  Trading with Committees: A Comparative Study. Proceedings of the Third International Conference on Neural Networks in the Capital Markets.