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First name:	Thomas
Last name:	Ragg
DBLP:	64/5943
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	Conference paper Frank Padberg, Thomas Ragg, Ralf Schoknecht. Using Machine Learning for Estimating the Defect Content After an Inspection.	IEEE Trans. Software Eng. 2004, Volume 30	(0)	2004
	Conference paper Thomas Ragg, Martin Granzow, Wolfram Menzel, Werner Dubitzky. Filtering Nonlinear Intensity Dependencies in cDNA Microarray Experiments.	Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 2003	(0)	2003
	Conference paper Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers. The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction.	Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings 2003	(0)	2003
	Conference paper Thomas Ragg, Frank Padberg, Ralf Schoknecht. Applying Machine Learning to Solve an Estimation Problem in Software Inspections.	Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings 2002	(0)	2002
	Conference paper Thomas Ragg. Bayesian learning and evolutionary parameter optimization.	AI Commun. 2002, Volume 15	(0)	2002
	Conference paper Thomas Ragg, Wolfram Menzel, Walter Baum, Michael Wigbers. Bayesian learning for sales rate prediction for thousands of retailers.	Neurocomputing 2002, Volume 43	(0)	2002
	Conference paper Thomas Ragg. Building Committees by Clustering Models Based on Pairwise Similarity Values.	Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings 2001	(0)	2001
	Conference paper Thomas Ragg. Bayesian Learning and Evolutionary Parameter Optimization.	KI 2001: Advances in Artificial Intelligence, Joint German/Austrian Conference on AI, Vienna, Austria, September 19-21, 2001, Proceedings 2001	(0)	2001
	Conference paper Thomas Ragg, Steffen Gutjahr. Automatic determination of optimal network topologies based on information theory and evolution.	23rd EUROMICRO Conference '97, New Frontiers of Information Technology, 1-4 September 1997, Budapest, Hungary 1997	(0)	1997
	Conference paper Thomas Ragg, Steffen Gutjahr. Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series Prediction.	Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings 1997	(0)	1997

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