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Pattern Recognition and Machine Learning: Part 2 - Christopher M. Bishop

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This new textbook "Pattern Recognition and Machine Learning" reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Please refer to the content of part 2 of book. |

TÀI LIỆU LIÊN QUAN

Chapter 1: Overview on Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning: Part 1 - Christopher M. Bishop

Pattern Recognition and Machine Learning: Part 2 - Christopher M. Bishop

Traffic sign recognition

Pattern discovering for ontology based activity recognition in multi-resident homes

Multi-coronas Zernike moments on curvelet-like transform and application to pattern recognition

Application of correlation pattern recognition technique for neutron– gamma discrimination in the EJ-301 liquid scintillation detector

BIOCAT: A pattern recognition platform for customizable biological image classification and annotation

Pattern recognition receptors (PRRs)

Multi-template matching: A versatile tool for object-localization in microscopy images
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