Pattern recognition and neural networks / B.D. Ripley.
By: Ripley, Brian D
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
Contents:
Introduction and examples -- Statistical decision theory -- Linear discriminant analysis -- Flexible discriminants -- Feed-forward neural networks -- Non-parametric methods -- Tree-structured classifiers -- Belief networks -- Unsupervised methods -- Finding good pattern features -- Statistical sidelines.
Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
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UM Main Library | 006.4 PAR (Browse shelf) | 1 | Not For Loan | 00004598 | |
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UM Main Library | 006.4 PAR (Browse shelf) | 2 | Available | 00005064 | |
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UM Main Library | 006.4 PAR (Browse shelf) | 3 | Available | 00004566 |
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006.4 INT Introduction to pattern recognition : | 006.4 PAR Pattern recognition and neural networks / | 006.4 PAR Pattern recognition and neural networks / | 006.4 PAR Pattern recognition and neural networks / | 006.6 ADB Adobe Illustrator CS4 revealed / | 006.6 COF Computer graphics : | 006.6 COF Computer graphics : |
Includes bibliographical references (p. [355]-390) and indexes.
Introduction and examples -- Statistical decision theory -- Linear discriminant analysis -- Flexible discriminants -- Feed-forward neural networks -- Non-parametric methods -- Tree-structured classifiers -- Belief networks -- Unsupervised methods -- Finding good pattern features -- Statistical sidelines.
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