J
John Moody
Researcher at Oregon Health & Science University
Publications - 61
Citations - 9177
John Moody is an academic researcher from Oregon Health & Science University. The author has contributed to research in topics: Artificial neural network & Sharpe ratio. The author has an hindex of 28, co-authored 61 publications receiving 8743 citations. Previous affiliations of John Moody include Princeton University & University of California, Santa Barbara.
Papers
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Journal ArticleDOI
Fast learning in networks of locally-tuned processing units
John Moody,Christian J. Darken +1 more
TL;DR: This work proposes a network architecture which uses a single internal layer of locally-tuned processing units to learn both classification tasks and real-valued function approximations (Moody and Darken 1988).
Proceedings Article
The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems
TL;DR: In this paper, the generalization performance of nonlinear learning systems, such as multilayer perceptrons and radial basis functions, was analyzed for the second order relationship between the expected test set and training set errors.
Journal ArticleDOI
Learning to trade via direct reinforcement
John Moody,Matthew Saffell +1 more
TL;DR: It is demonstrated how direct reinforcement can be used to optimize risk-adjusted investment returns (including the differential Sharpe ratio), while accounting for the effects of transaction costs.
Journal ArticleDOI
New macroscopic forces
John Moody,Frank Wilczek +1 more
TL;DR: In this article, the mass and couplings of the invisible axion are derived, followed by suggestions for experiments to detect axions via the macroscopic forces they mediate.
Proceedings Article
Data Visualization and Feature Selection: New Algorithms for Nongaussian Data
Howard Hua Yang,John Moody +1 more
TL;DR: The efficacy of the methods is illustrated on a radar signal analysis problem to find 2-D viewing coordinates for data visualization and to select inputs for a neural network classifier.