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First name:	David H.
Last name:	Stern
DBLP:	68/3069
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	Journal article Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel. Kernel Topic Models.	Journal of Machine Learning Research - Proceedings Track 2012, Volume 22	(0)	2012
	Conference paper Gjergji Kasneci, Jurgen Van Gael, David H. Stern, Thore Graepel. CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise.	Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011 2011	(0)	2011
	Journal article Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel. Kernel Topic Models	CoRR 2011, Volume 0	(0)	2011
	Conference paper Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich. Automated feature generation from structured knowledge.	Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011 2011	(0)	2011
	Conference paper David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella. Collaborative Expert Portfolio Management.	Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 2010	(0)	2010
	Journal article Philipp Hennig, David H. Stern, Thore Graepel. Coherent Inference on Optimal Play in Game Trees.	Journal of Machine Learning Research - Proceedings Track 2010, Volume 9	(0)	2010
	Conference paper David H. Stern, Ralf Herbrich, Thore Graepel. Matchbox: large scale online bayesian recommendations.	Proceedings of the 18th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, 2009 2009	(0)	2009
	Conference paper David H. Stern, Ralf Herbrich, Thore Graepel. Learning to solve game trees.	Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007 2007	(0)	2007
	Conference paper David H. Stern, Ralf Herbrich, Thore Graepel. Bayesian pattern ranking for move prediction in the game of Go.	Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 2006	(0)	2006
	Conference paper David H. Stern, Thore Graepel, David J. C. MacKay. Modelling Uncertainty in the Game of Go.	Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada] 2004	(0)	2004

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