Pattern Recognition and Neural Networks

Description

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and how to overcome them.

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1. Ebooks list page : 2796
2. Neural Networks for Pattern Recognition
3. Neural Networks and Pattern Recognition
4. Neural Networks for Pattern Recognition
5. Pattern Recognition with Neural Networks in C
6. Pattern Recognition Using Neural and Functional Networks
7. Neural Networks and Pattern Recognition (repost)
8. A Statistical Approach to Neural Networks for Pattern Recognition
9. Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
10. [share_ebook] Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
11. Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing)
12. Introduction to Pattern Recognition - Statistical, Structural, Neural & Fuzzy Logic Approaches
13. Image Processing and Pattern Recognition (Neural Network Systems Techniques and Applications)
14. [share_ebook] Speech Recognition using Neural Networks
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