Learning, Networks and Statistics -

Learning, Networks and Statistics

Buch | Softcover
VIII, 230 Seiten
1997 | 1997
Springer Wien (Verlag)
978-3-211-82910-3 (ISBN)
53,49 inkl. MwSt
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.

Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.

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.

Erscheint lt. Verlag 20.10.1997
Reihe/Serie CISM International Centre for Mechanical Sciences
Zusatzinfo VIII, 230 p. 23 illus.
Verlagsort Vienna
Sprache englisch
Maße 170 x 244 mm
Gewicht 420 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Schlagworte algorithms • Case-Based Reasoning • classification • Computer • computer vision • Data Mining • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • learning • machine learning • Mathematics • Networks • robot • Robotics • Simulation • Statistics • Visualization
ISBN-10 3-211-82910-5 / 3211829105
ISBN-13 978-3-211-82910-3 / 9783211829103
Zustand Neuware
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