Search the dblp DataBase

Publications of Author

1. Thomas Ragg
   Building Committees by Clustering Models Based on Pairwise Similarity Values. [Citation Graph (0, 0)][DBLP]
   ECML, 2001, pp:406-418 [Conf]
   
2. Thomas Ragg, Steffen Gutjahr
   Automatic determination of optimal network topologies based on information theory and evolution. [Citation Graph (0, 0)][DBLP]
   EUROMICRO, 1997, pp:549-555 [Conf]
   
3. Thomas Ragg, Martin Granzow, Wolfram Menzel, Werner Dubitzky
   Filtering Nonlinear Intensity Dependencies in cDNA Microarray Experiments. [Citation Graph (0, 0)][DBLP]
   IC-AI, 2003, pp:335-341 [Conf]
   
4. Thomas Ragg, Steffen Gutjahr
   Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series Prediction. [Citation Graph (0, 0)][DBLP]
   ICANN, 1997, pp:1023-1028 [Conf]
   
5. Thomas Ragg, Frank Padberg, Ralf Schoknecht
   Applying Machine Learning to Solve an Estimation Problem in Software Inspections. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:516-521 [Conf]
   
6. Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers
   The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction. [Citation Graph (0, 0)][DBLP]
   IDA, 2003, pp:451-461 [Conf]
   
7. Thomas Ragg
   Bayesian Learning and Evolutionary Parameter Optimization. [Citation Graph (0, 0)][DBLP]
   KI/ÖGAI, 2001, pp:48-62 [Conf]
   
8. Rainer Malaka, Thomas Ragg, Martin Hammer
   A Model for Chemosensory Reception. [Citation Graph (0, 0)][DBLP]
   NIPS, 1994, pp:61-68 [Conf]
   
9. Thomas Ragg
   Parallelization of an Evolutionary Neural Network Optimizer Based on PVM. [Citation Graph (0, 0)][DBLP]
   PVM, 1996, pp:351-354 [Conf]
   
10. Thomas Ragg
    Bayesian learning and evolutionary parameter optimization. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2002, v:15, n:1, pp:61-74 [Journal]
    
11. Thomas Ragg, Wolfram Menzel, Walter Baum, Michael Wigbers
    Bayesian learning for sales rate prediction for thousands of retailers. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:43, n:1-4, pp:127-144 [Journal]
    
12. Frank Padberg, Thomas Ragg, Ralf Schoknecht
    Using Machine Learning for Estimating the Defect Content After an Inspection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 2004, v:30, n:1, pp:17-28 [Journal]
    
13. 
    Kinetic models of odor transduction implemented as artificial neural networks. [Citation Graph (, )][DBLP]