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Pattern Recognition And Machine Learning

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Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning Book
Author : Christopher M. Bishop
Publisher : Springer
Release : 2016-08-23
ISBN : 9781493938438
Language : En, Es, Fr & De

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Book Description :

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning Book
Author : Christopher M. Bishop
Publisher : Springer Verlag
Release : 2006-08-17
ISBN : 9780387310732
Language : En, Es, Fr & De

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Book Description :

This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning Book
Author : Christopher M. Bishop
Publisher : Unknown
Release : 2013
ISBN : 9788132209065
Language : En, Es, Fr & De

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Book Description :

The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

Fundamentals of Pattern Recognition and Machine Learning

Fundamentals of Pattern Recognition and Machine Learning Book
Author : Ulisses Braga-Neto
Publisher : Springer Nature
Release : 2020-09-10
ISBN : 3030276562
Language : En, Es, Fr & De

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Book Description :

Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study. It has grown out of lecture notes and assignments that the author has developed while teaching classes on this topic for the past 13 years at Texas A&M University. The book is intended to be concise but thorough. It does not attempt an encyclopedic approach, but covers in significant detail the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as Gaussian process regression and convolutional neural networks. In addition, the selection of topics has a few features that are unique among comparable texts: it contains an extensive chapter on classifier error estimation, as well as sections on Bayesian classification, Bayesian error estimation, separate sampling, and rank-based classification. The book is mathematically rigorous and covers the classical theorems in the area. Nevertheless, an effort is made in the book to strike a balance between theory and practice. In particular, examples with datasets from applications in bioinformatics and materials informatics are used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and scikit-learn. All plots in the text were generated using python scripts, which are also available on the book website.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence Book
Author : B. Uma Shankar,Kuntal Ghosh,Deba Prasad Mandal,Shubhra Sankar Ray,David Zhang,Sankar K. Pal
Publisher : Springer
Release : 2017-11-22
ISBN : 3319699008
Language : En, Es, Fr & De

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Book Description :

This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning Book
Author : Y. Anzai
Publisher : Elsevier
Release : 2012-12-02
ISBN : 0080513638
Language : En, Es, Fr & De

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Book Description :

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence Book
Author : Bhabesh Deka,Pradipta Maji,Sushmita Mitra,Dhruba Kumar Bhattacharyya,Prabin Kumar Bora,Sankar Kumar Pal
Publisher : Springer Nature
Release : 2019-11-25
ISBN : 3030348695
Language : En, Es, Fr & De

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Book Description :

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning Book
Author : King-Sun Fu
Publisher : Springer
Release : 1971-07
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.

Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks Book
Author : Brian D. Ripley
Publisher : Cambridge University Press
Release : 2007
ISBN : 9780521717700
Language : En, Es, Fr & De

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Book Description :

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition Book
Author : Petra Perner
Publisher : Springer
Release : 2012-07-02
ISBN : 3642315372
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition Book
Author : Petra Perner
Publisher : Springer
Release : 2018-07-09
ISBN : 3319961330
Language : En, Es, Fr & De

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Book Description :

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Machine Learning in Image Analysis and Pattern Recognition

Machine Learning in Image Analysis and Pattern Recognition Book
Author : Munish Kumar , R. K. Sharma,Ishwar Sethi
Publisher : MDPI
Release : 2021-09-08
ISBN : 3036517146
Language : En, Es, Fr & De

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Book Description :

This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition Book
Author : Christopher M. Bishop,Professor of Neural Computing Christopher M Bishop
Publisher : Oxford University Press
Release : 1995-11-23
ISBN : 0198538642
Language : En, Es, Fr & De

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Book Description :

Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence Book
Author : Pradipta Maji,Ashish Ghosh,M. Narasimha Murty,Kuntal Ghosh,Sankar K. Pal
Publisher : Springer
Release : 2013-11-13
ISBN : 9783642450617
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013, held in Kolkata, India in December 2013. The 101 revised papers presented together with 9 invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on pattern recognition; machine learning; image processing; speech and video processing; medical imaging; document image processing; soft computing; bioinformatics and computational biology; and social media mining.

Mathematical Methodologies in Pattern Recognition and Machine Learning

Mathematical Methodologies in Pattern Recognition and Machine Learning Book
Author : Pedro Latorre Carmona,J. Salvador Sánchez,Ana L.N. Fred
Publisher : Springer Science & Business Media
Release : 2012-11-09
ISBN : 1461450764
Language : En, Es, Fr & De

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Book Description :

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field. This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition Book
Author : Petra Perner
Publisher : Springer
Release : 2015-06-30
ISBN : 3319210246
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Pattern Recognition and Artificial Intelligence

Pattern Recognition and Artificial Intelligence Book
Author : Chawki Djeddi,Akhtar Jamil,Imran Siddiqi
Publisher : Springer Nature
Release : 2019-12-16
ISBN : 303037548X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the Third Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2019, held in Istanbul, Turkey, in December 2019. The 18 revised full papers and one short paper presented were carefully selected from 54 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc.

A Concise Introduction to Machine Learning

A Concise Introduction to Machine Learning Book
Author : A.C. Faul
Publisher : CRC Press
Release : 2019-08-01
ISBN : 1351204734
Language : En, Es, Fr & De

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Book Description :

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques.

Deep Learning on Graphs

Deep Learning on Graphs Book
Author : Yao Ma,Jiliang Tang
Publisher : Cambridge University Press
Release : 2021-09-23
ISBN : 1108831745
Language : En, Es, Fr & De

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Book Description :

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.