Dirk Ormoneit - RankMe

17 papers A* 1A 2Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	Lattice Particle Filters CoRR Dirk Ormoneit, Christiane Lemieux, David J. Fleet
2013	J	`jnl`	Robust Combination of Local Controllers CoRR Carlos Guestrin, Dirk Ormoneit
2005	J	`jnl`	Representing cyclic human motion using functional analysis. Image Vis. Comput. Dirk Ormoneit, Michael J. Black, Trevor Hastie, Hedvig Kjellström
2002	J	`jnl`	Kernel-Based Reinforcement Learning. Mach. Learn. Dirk Ormoneit, Saunak Sen
2002	J	`jnl`	Kernel-based reinforcement learning in average-cost problems. IEEE Trans. Autom. Control. Dirk Ormoneit, Peter W. Glynn
2001	A	`conf`	Lattice Particle Filters. UAI Dirk Ormoneit, Christiane Lemieux, David J. Fleet
2001	A*	`conf`	Learning an Agent's Utility Function by Observing Behavior. ICML Urszula Chajewska, Daphne Koller, Dirk Ormoneit
2001	—	`conf`	Probabilistic Abstraction Hierarchies. NIPS Eran Segal, Daphne Koller, Dirk Ormoneit
2001	A	`conf`	Robust Combination of Local Controllers. UAI Carlos Guestrin, Dirk Ormoneit
2000	—	`conf`	Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice. NIPS Dirk Ormoneit, Peter W. Glynn
2000	—	`conf`	Learning and Tracking Cyclic Human Motion. NIPS Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie
1999	J	`jnl`	A regularization approach to continuous learning with an application to financial derivatives pricing. Neural Networks Dirk Ormoneit
1999	—	`conf`	Optimal Kernel Shapes for Local Linear Regression. NIPS Dirk Ormoneit, Trevor Hastie
1998	J	`jnl`	Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. IEEE Trans. Neural Networks Dirk Ormoneit, Volker Tresp
1998	—	`—`	Probability estimating neural networks. Dirk Ormoneit
1996	—	`conf`	Experiments in predicting the German stock index DAX with density estimating neural networks. CIFEr Dirk Ormoneit, Ralph Neuneier
1995	—	`conf`	Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. NIPS Dirk Ormoneit, Volker Tresp