Pattern Classification.: Pattern Classification Pt.1 (Gebundene Ausgabe)
von Richard O. Duda, Peter E. Hart, David G. Stork


 
Kurzbeschreibung:
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

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Siehe auch folgende Artikel:
Computer Manual in MATLAB to Accompany Pattern Classification von David G. Stork
Pattern Recognition and Machine Learning (Information Science and Statistics) von Christopher M. Bishop
The Elements of Statistical Learning. Data Mining, Inference, and Prediction: Data Mining, Inference and Prediction (Springer Series in Statistics) von Trevor Hastie
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond: Support Vector Machines, Regularization, Optimization and Beyond (Adaptive Computation and Machine Learning) von Bernhard Scholkopf
Mehr zu  English Books,  Computers & Internet,  Pattern Recognition,  Digital Design,  Electrical & Electronics,  Science,  Applied
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