Publications

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Darken, C., Chang J.., & Moody J. (1992).  Learning Rate Schedules for Faster Stochastic Gradient Search. Neural Networks for Signal Processing.
Moody, J., & Saffell M. (2001).  Learning to Trade via Direct Reinforcement. IEEE Transactions on Neural Networks. 12(4), 
Moody, J., & Darken C. (1988).  Learning with Localized Receptive Fields. Proceedings of the 1988 Connectionist Models Summer School. 133-143.
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Moody, J., Wu L., Liao Y., & Saffell M. (1998).  Performance Functions and Reinforcement Learning for Trading Systems and Portfolios. 17, 441-470.
Moody, J. (1987).  Perspectives on Associative Memories. Proceedings of the IEEE First International Conference on Neural Networks.
Tresp, V., Briegel T., & Moody J. (1999).  Predicting Blood Glucose Metabolism in Diabetics -- A Machine Learning Solution.
Moody, J., Levin A.., & Rehfuss S. (1993).  Predicting the U.S. Index of Industrial Production. Proceedings of Parallel Applications in Statistics and Economics '93. 3(6), 791-794.
Moody, J. (1994).  Prediction Risk and Neural Network Architecture Selection.
Moody, J., & Wu L. (1995).  Price Behavior and Hurst Exponents of Tick-By-Tick Interbank Foreign Exchange Rates. Proceedings of Computational Intelligence in Financial Engineering (IEEE IAFE 1995).
Moody, J., & Utans J. (1992).  Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. 4,
Moody, J. (1985).  Prospects for Axion Detection. Dark Matter in the Universe: Proceedings of IAU Symposium 117.

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