International School on Neural Nets

"E.R. Caianiello"

7th Course

Ensemble Methods for Learning Machines

IIASS, 22-28 September 2002
Vietri sul Mare, Salerno - ITALY

List of Posters/Participant Talks

Sept 14 2002

 

 

  1. B. Apolloni, S. Bassis, D. Malchiodi, and S. Gaito, Universita' di Milano, Milano (Italy), Cooperative Games in a Stochastic Environment.

  2. M.J. Castro Bleda, W. Diaz Villanueva , and J.L. Dominguez Rubio, Universidad Politécnica de Valencia, Valencia (Spain), Prediction of Discrimination of Pharmacological Activity by Using Committees of Artificial Neural Networks.

  3. S. Cohen and N. Intrator, Tel Aviv Univ. (Israel) and Brown Univ., Providence, RI (USA), Hybrid network architecture for regression.

  4. J.M. DeLeo, A.T. Remaley, and S.J. Rosenfeld, National Institutes of Health Clinical Center, Bethesda, MD (USA), Ensembling for Confidence: Predicting Analyte Values from Other Same-Specimen Analyte Values in the Clinical Chemistry Laboratory.

  5. C. Dimitrakakis and S. Bengio, Institut Dalle Molle d'Intelligence Artificielle Perceptive, Martigny (Switzerland), Optimal Policies for Controlling Ensembles.

  6. N. El Gayar, University of Cairo Orman, Giza (Egypt), Fuzzy-Teacher-Based Learning for an Ensemble of Neural Networks.

  7. P. Geurts, University of Liege, Liege (Belgium), Improving the bias/variance tradeoff of decision trees with ensemble methods.

  8. H. Haraldsson and M. Ohlosson, Lund University, Lund (Sweden), A New learning Scheme for Neural Network Ensembles.

  9. A.K. Jerebko , J. D. Malley, M. Franaszek, and R. M. Summers, National Institutes of Health, Bethesda, MD (USA), Multi Network Classification Scheme for Detection of Colonic Polyps in CT Colonography Data Sets.

  10. Y. Kim, Ewha Womans University, Seoul (Korea), Convex Hull Ensemble Machine.

  11. J. Kohlmorgen, Fraunhofer FIRST, Berlin (Germany), A Dynamic HMM for On-line Segmentation of Sequential Data.

  12. M. Matteucci, Politecnico di Milano, Milano (Italy), Evolving Population of Rich Neural Network Topologies.

  13. C. Merkwith, M. Ogorzalek and J. Wichard, University of Mining and Metallurgy, Kraków (Poland), Entool - A Matlab Toolbox for Ensemble Regression Modeling.

  14. B. Salans, G. Dorffner, and A. Karatzoglou, Technische Universitat Wien, Wien (Austria), Interacting Markets in an Artificial Economy.

  15. I.V. Tetko, Forschungszentrum fuer Umwelt und Gesundheit, GmbH, Neuherberg (Germany), Associative Neural Network.

  16. I.V. Tetko, , Forschungszentrum fuer Umwelt und Gesundheit, GmbH, Neuherberg (Germany), Volume Learning Algorithm Artificial Neural Networks.