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Ensemble Learning for Multi-source Information Fusion.

J. Beyer, K. Heesche, W. Hauptmann, C. Otte, and R. Kruse. Intelligent Autonomous Systems, volume 275 of Studies in Computational Intelligence, Springer, (2010)

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Andreas Werner University of Stuttgart

Hon. -Prof. Werner Pollmann University of Stuttgart

Univ. -Prof. Dr. Hans-Joachim Werner University of Stuttgart

Werner Sobek

apl. Prof. Dr. Werner Haas University of Stuttgart

Other publications of authors with the same name

Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications.S. Nusser, C. Otte, and W. Hauptmann. GfKl, page 733-744. Springer, (2008)Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels.J. Beyer, K. Heesche, W. Hauptmann, and C. Otte. ESANN, (2009)An EM-Based Piecewise Linear Regression Algorithm.S. Nusser, C. Otte, and W. Hauptmann. HAIS, volume 5271 of Lecture Notes in Computer Science, page 466-474. Springer, (2008)A Neuro-Fuzzy Approach for the Sensor-Based Driving Situation Identification.W. Hauptmann, F. Graf, and K. Heesche. ICONIP (2), page 919-922. Springer, (1997)Interpretable ensembles of local models for safety-related applications.S. Nusser, C. Otte, and W. Hauptmann. ESANN, page 301-306. (2008)Ein Prototyp für ein integriertes Fuzzy-Neuro System.W. Hauptmann, and K. Heesche. Fuzzy Days, page 390-399. Springer, (1994)Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs.S. Nusser, C. Otte, and W. Hauptmann. Applications of Supervised and Unsupervised Ensemble Methods, volume 245 of Studies in Computational Intelligence, Springer, (2009)Ensemble Learning for Multi-source Information Fusion.J. Beyer, K. Heesche, W. Hauptmann, C. Otte, and R. Kruse. Intelligent Autonomous Systems, volume 275 of Studies in Computational Intelligence, Springer, (2010)Ensemble Learning for Multi-source Information Fusion.J. Beyer, K. Heesche, W. Hauptmann, C. Otte, and R. Kruse. ECSQARU, volume 5590 of Lecture Notes in Computer Science, page 748-756. Springer, (2009)Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems).S. Nusser, C. Otte, W. Hauptmann, O. Leirich, M. Krätschmer, and R. Kruse. Automatisierungstechnik, 57 (3): 138-145 (2009)