Dirk Ormoneit

	2005
12		Dirk Ormoneit, Michael J. Black, Trevor Hastie, Hedvig Kjellström: Representing cyclic human motion using functional analysis. Image Vision Comput. 23(14): 1264-1276 (2005)
	2002
11		Dirk Ormoneit, Saunak Sen: Kernel-Based Reinforcement Learning. Machine Learning 49(2-3): 161-178 (2002)
	2001
10		Urszula Chajewska, Daphne Koller, Dirk Ormoneit: Learning an Agent's Utility Function by Observing Behavior. ICML 2001: 35-42
9		Eran Segal, Daphne Koller, Dirk Ormoneit: Probabilistic Abstraction Hierarchies. NIPS 2001: 913-920
8		Carlos Guestrin, Dirk Ormoneit: Robust Combination of Local Controllers. UAI 2001: 178-185
7		Dirk Ormoneit, Christiane Lemieux, David J. Fleet: Lattice Particle Filters. UAI 2001: 395-402
	2000
6		Dirk Ormoneit, Peter W. Glynn: Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice. NIPS 2000: 1068-1074
5		Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie: Learning and Tracking Cyclic Human Motion. NIPS 2000: 894-900
	1999
4		Dirk Ormoneit, Trevor Hastie: Optimal Kernel Shapes for Local Linear Regression. NIPS 1999: 540-546
3		Dirk Ormoneit: A regularization approach to continuous learning with an application to financial derivatives pricing. Neural Networks 12(10): 1405-1412 (1999)
	1998
2		Dirk Ormoneit, Volker Tresp: Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. IEEE Transactions on Neural Networks 9(4): 639-650 (1998)
	1995
1		Dirk Ormoneit, Volker Tresp: Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. NIPS 1995: 542-548

Coauthor Index

1	Michael J. Black	[5] [12]
2	Urszula Chajewska	[10]
3	David J. Fleet	[7]
4	Peter W. Glynn	[6]
5	Carlos Guestrin	[8]
6	Trevor Hastie	[4] [5] [12]
7	Hedvig Kjellström (Hedvig Sidenbladh)	[5] [12]
8	Daphne Koller	[9] [10]
9	Christiane Lemieux	[7]
10	Eran Segal	[9]
11	Saunak Sen	[11]
12	Volker Tresp	[1] [2]

Colors in the list of coauthors