John E. Moody - RankMe

29 papers A* 1B 1Journal 4Unranked 20

Year	Rank	Type	Title / Venue / Authors
2004	—	`conf`	Stochastic Direct Reinforcement: Application to Simple Games with Recurrence. AAAI Technical Report (2) John E. Moody, Yufeng Liu, Matthew Saffell, Kyoungju Youn
2003	—	`conf`	Stock returns: momentum, volatility and interest rates. CIFEr Yue Fang, Sakae Wada, John E. Moody
2001	J	`jnl`	Learning to trade via direct reinforcement. IEEE Trans. Neural Networks John E. Moody, Matthew Saffell
1999	—	`conf`	Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting. NIPS Yuansong Liao, John E. Moody
1999	—	`conf`	Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. NIPS Howard Hua Yang, John E. Moody
1998	A*	`conf`	Reinforcement Learning for Trading Systems and Portfolios. KDD John E. Moody, Matthew Saffell
1998	—	`conf`	Reinforcement Learning for Trading. NIPS John E. Moody, Matthew Saffell
1997	—	`conf`	Optimization of trading systems and portfolios. CIFEr John E. Moody, Lizhong Wu
1997	—	`conf`	What is the "true price"? state space models for high frequency FX data. CIFEr John E. Moody, Lizhong Wu
1996	J	`jnl`	A Smoothing Regularizer for Feedforward and Recurrent Neural Networks. Neural Comput. Lizhong Wu, John E. Moody
1996	—	`ch.`	Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions. Neural Networks: Tricks of the Trade John E. Moody
1996	—	`conf`	Multi-effect Decompositions for Financial Data Modeling. NIPS Lizhong Wu, John E. Moody
1996	—	`conf`	Smoothing Regularizers for Projective Basis Function Networks. NIPS John E. Moody, Thorsteinn S. Rögnvaldsson
1995	—	`conf`	A Smoothing Regularizer for Recurrent Neural Networks. NIPS Lizhong Wu, John E. Moody
1995	—	`conf`	Input variable selection for neural networks: application to predicting the U.S. business cycle. CIFEr Joachim Utans, John E. Moody, Steven Rehfuss, Hava T. Siegelmann
1995	—	`conf`	Price behavior and Hurst exponents of tick-by-tick interbank foreign exchange rates. CIFEr John E. Moody, Lizhong Wu
1993	—	`conf`	Fast Pruning Using Principal Components. NIPS Asriel U. Levin, Todd K. Leen, John E. Moody
1992	—	`ed.`	Advances in Neural Information Processing Systems 4, [NIPS Conference, Denver, Colorado, USA, December 2-5, 1991] NIPS John E. Moody, Stephen Jose Hanson, Richard Lippmann
1992	—	`conf`	Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. NIPS Todd K. Leen, John E. Moody
1991	—	`ed.`	Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990] NIPS Richard Lippmann, John E. Moody, David S. Touretzky
1991	—	`conf`	Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. NIPS John E. Moody, Joachim Utans
1991	—	`conf`	The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems. NIPS John E. Moody
1991	—	`conf`	Towards Faster Stochastic Gradient Search. NIPS Christian Darken, John E. Moody
1990	B	`conf`	Fast adaptive k-means clustering: some empirical results. IJCNN Christian J. Darken, John E. Moody
1990	—	`conf`	Note on Learning Rate Schedules for Stochastic Optimization. NIPS Christian Darken, John E. Moody
1989	J	`jnl`	Fast Learning in Networks of Locally-Tuned Processing Units. Neural Comput. John E. Moody, Christian J. Darken
1989	—	`conf`	Note on Development of Modularity in Simple Cortical Models. NIPS Alex Chernajvsky, John E. Moody
1988	—	`conf`	Fast Learning in Multi-Resolution Hierarchies. NIPS John E. Moody
1988	J	`jnl`	Speedy alternatives to back propagation. Neural Networks John E. Moody, Christian Darken