Publications

Found 5 results
Author Title Type [ Year(Asc)]
Filters: Author is Joachim Utans  [Clear All Filters]
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).
1994
Moody, J., & Utans J. (1994).  Architecture Selection Strategies for Neural Networks: Application to Corporate Bond Rating Prediction.
1993
Utans, J. (1993).  Mixture Models and the EM Algorithm for Object Recognition within Compositional Hierarchies. Part 1: Recognition.
1992
Moody, J., & Utans J. (1992).  Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. 4,
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.