Dirk Ormoneit

According to our database, Dirk Ormoneit authored at least 15 papers between 1995 and 2005.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2005

Representing cyclic human motion using functional analysis.

Dirk Ormoneit, Michael J. Black, Trevor Hastie, Hedvig Kjellström

Image Vis. Comput., 2005

2002

Kernel-based reinforcement learning in average-cost problems.

Dirk Ormoneit, Peter W. Glynn

IEEE Trans. Autom. Control., 2002

Kernel-Based Reinforcement Learning.

Dirk Ormoneit, Saunak Sen

Mach. Learn., 2002

2001

Lattice Particle Filters.

Dirk Ormoneit, Christiane Lemieux, David J. Fleet

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Robust Combination of Local Controllers.

Carlos Guestrin, Dirk Ormoneit

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Probabilistic Abstraction Hierarchies.

Eran Segal, Daphne Koller, Dirk Ormoneit

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning an Agent's Utility Function by Observing Behavior.

Urszula Chajewska, Daphne Koller, Dirk Ormoneit

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Learning and Tracking Cyclic Human Motion.

Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice.

Dirk Ormoneit, Peter W. Glynn

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

A regularization approach to continuous learning with an application to financial derivatives pricing.

Dirk Ormoneit

Neural Networks, 1999

Optimal Kernel Shapes for Local Linear Regression.

Dirk Ormoneit, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Probability estimating neural networks.

Dirk Ormoneit

PhD thesis, 1998

Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates.

Dirk Ormoneit, Volker Tresp

IEEE Trans. Neural Networks, 1998

1996

Experiments in predicting the German stock index DAX with density estimating neural networks.

Dirk Ormoneit, Ralph Neuneier

Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996

1995

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging.

Dirk Ormoneit, Volker Tresp

Proceedings of the Advances in Neural Information Processing Systems 8, 1995