Pattern Classification: A Unified View of Statistical and Neural Approaches
TechnometricsPublished 1 February 1997
Jürgen Schürmann, Jurgen Schürmann, Jurgen Schurmann
Citations344
SJR quartileQ1
SJR score1.41
SNIP1.93
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Abstract
Statistical Decision Theory. Need for Approximations: Fundamental Approaches. Classification Based on Statistical Models Determined by First-and-Second Order Statistical Moments. Classification Based on Mean-Square Functional Approximations. Polynomial Regression. Multilayer Perceptron Regression. Radial Basis Functions. Measurements, Features, and Feature Section. Reject Criteria and Classifier Performance. Combining Classifiers. Conclusion. STATMOD Program: Description of ftp Package. References. Index.
Keywords
Computer Science
Journal of the American Statistical AssociationDiscriminant Analysis and Statistical Pattern Recognition.
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