Learning, Networks and Statistics

Neural Nets: Overtraining in Single-Layer Perceptrons; Neural Networks for Rapid Learning in Computer Vision and Robotics.– Statistics and Networks: Adaptive Market Simulation and Risk Assessment; Processing of Prior-Information in Statistics by Projections on Convex Cones.– Classification and Data Mining: Simultaneous Visualization and Clustering Methods as an Alternative to Kohonen Maps; Data analysis in Industry - A Practical Guideline; Fuzzy Shell Cluster Analysis; Automatic Construction of Decision Trees and Neural Nets for Classification Using Statistical Considerations; From the Art of KDD to the Science of KDD.– Machine Learning: Machine Learning: Between Accuracy and Interpretability; Preprocessing by a Cost-Sensitive Literal Reduction Algorithm: REDUCE; A General Framework for Supporting Relational Concept Learning; Machine Learning and Case-Based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them.