<p>Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examp
Learning, Networks and Statistics
โ Scribed by Prof. Giacomo Della Riccia, Prof. Dr. Hans-Joachim Lenz, Prof. Dr. Rudolf Kruse (eds.)
- Publisher
- Springer-Verlag Wien
- Year
- 1997
- Tongue
- English
- Leaves
- 226
- Series
- International Centre for Mechanical Sciences 382
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The contents of these proceedings reflect the intention of the organizers of the workshop to bring together scientists and engineers having a strong interest in interdisciplinary work in the fields of computer science, mathematics and applied statistics. Results of this collaboration are illustrated in problems dealing with neural nets, statistics and networks, classification and data mining, and (machine) learning.
โฆ Table of Contents
Front Matter....Pages ii-viii
Front Matter....Pages 1-1
Overtraining in Single-Layer Perceptrons....Pages 3-24
Neural Networks for Rapid Learning in Computer Vision and Robotics....Pages 25-39
Front Matter....Pages 41-41
Adaptive Market Simulation and Risk Assessment....Pages 43-54
Processing of Prior-Information in Statistics by Projections on Convex Cones....Pages 55-63
Front Matter....Pages 65-65
Simultaneous Visualization and Clustering Methods as an Alternative to Kohonen Maps....Pages 67-85
Data Analysis in Industry....Pages 87-104
Fuzzy Shell Cluster Analysis....Pages 105-119
Automatic Construction of Decision Trees and Neural Nets for Classification Using Statistical Considerations....Pages 121-134
From the Art of KDD to the Science of KDD....Pages 135-160
Front Matter....Pages 161-161
Machine Learning: Between Accuracy and Interpretability....Pages 163-177
Preprocessing by a Cost-Sensitive Literal Reduction Algorithm: Reduce....Pages 179-196
A General Framework for Supporting Relational Concept Learning....Pages 197-207
Machine Learning and Case-Based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them....Pages 209-225
Back Matter....Pages 227-230
โฆ Subjects
Artificial Intelligence (incl. Robotics); Math Applications in Computer Science
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<p>Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examp
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