Hybrid Random Fields
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Hybrid Random Fields
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Author : Antonino Freno
language : en
Publisher:
Release Date : 2011-05-01
Hybrid Random Fields written by Antonino Freno and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-01 with categories.
Hybrid Random Fields
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Author : Antonino Freno
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-11
Hybrid Random Fields written by Antonino Freno and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-11 with Computers categories.
This book presents an exciting new synthesis of directed and undirected, discrete and continuous graphical models. Combining elements of Bayesian networks and Markov random fields, the newly introduced hybrid random fields are an interesting approach to get the best of both these worlds, with an added promise of modularity and scalability. The authors have written an enjoyable book---rigorous in the treatment of the mathematical background, but also enlivened by interesting and original historical and philosophical perspectives. -- Manfred Jaeger, Aalborg Universitet The book not only marks an effective direction of investigation with significant experimental advances, but it is also---and perhaps primarily---a guide for the reader through an original trip in the space of probabilistic modeling. While digesting the book, one is enriched with a very open view of the field, with full of stimulating connections. [...] Everyone specifically interested in Bayesian networks and Markov random fields should not miss it. -- Marco Gori, Università degli Studi di Siena Graphical models are sometimes regarded---incorrectly---as an impractical approach to machine learning, assuming that they only work well for low-dimensional applications and discrete-valued domains. While guiding the reader through the major achievements of this research area in a technically detailed yet accessible way, the book is concerned with the presentation and thorough (mathematical and experimental) investigation of a novel paradigm for probabilistic graphical modeling, the hybrid random field. This model subsumes and extends both Bayesian networks and Markov random fields. Moreover, it comes with well-defined learning algorithms, both for discrete and continuous-valued domains, which fit the needs of real-world applications involving large-scale, high-dimensional data.
Artificial Neural Networks In Pattern Recognition
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Author : Nadia Mana
language : en
Publisher: Springer
Release Date : 2012-09-11
Artificial Neural Networks In Pattern Recognition written by Nadia Mana and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-11 with Computers categories.
This book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas.
Ecai 2010
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Author : European Coordinating Committee for Artificial Intelligence
language : en
Publisher: IOS Press
Release Date : 2010
Ecai 2010 written by European Coordinating Committee for Artificial Intelligence and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.
Artificial Neural Networks In Pattern Recognition
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Author : Friedhelm Schwenker
language : en
Publisher: Springer
Release Date : 2016-09-08
Artificial Neural Networks In Pattern Recognition written by Friedhelm Schwenker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-08 with Computers categories.
This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016. The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.
Random Fields And Spin Glasses
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Author : Cirano De Dominicis
language : en
Publisher: Cambridge University Press
Release Date : 2006-10-26
Random Fields And Spin Glasses written by Cirano De Dominicis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-26 with Science categories.
Disordered magnetic systems enjoy non-trivial properties which are different and richer than those observed in their pure, non-disordered counterparts. These properties dramatically affect the thermodynamic behaviour and require specific theoretical treatment. This book deals with the theory of magnetic systems in the presence of frozen disorder, in particular paradigmatic and well-known spin models such as the Random Field Ising Model and the Ising Spin Glass. This is a unified presentation using a field theory language which covers mean field theory, dynamics and perturbation expansion within the same theoretical framework. Particular emphasis is given to the connections between different approaches such as statics vs. dynamics, microscopic vs. phenomenological models. The book introduces some useful and little-known techniques in statistical mechanics and field theory. This book will be of great interest to graduate students and researchers in statistical physics and basic field theory.
Computer Graphics
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Author : Jonas Gomes
language : en
Publisher: CRC Press
Release Date : 2012-04-24
Computer Graphics written by Jonas Gomes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-24 with Computers categories.
Computer Graphics: Theory and Practice provides a complete and integrated introduction to this area. The book only requires basic knowledge of calculus and linear algebra, making it an accessible introductory text for students. It focuses on conceptual aspects of computer graphics, covering fundamental mathematical theories and models and the inherent problems in implementing them. In so doing, the book introduces readers to the core challenges of the field and provides suggestions for further reading and studying on various topics. For each conceptual problem described, solution strategies are compared and presented in algorithmic form. This book, along with its companion Design and Implementation of 3D Graphics Systems, gives readers a full understanding of the principles and practices of implementing 3D graphics systems.
Iris
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Author :
language : en
Publisher:
Release Date : 2009
Iris written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Philosophy categories.
Unsupervised Learning Algorithms
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Author : M. Emre Celebi
language : en
Publisher: Springer
Release Date : 2016-04-29
Unsupervised Learning Algorithms written by M. Emre Celebi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-29 with Technology & Engineering categories.
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.