Maximum Entropy In Action

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Maximum Entropy in Action

Brian Buck,Vincent A. Macaulay
Maximum Entropy in Action Book PDF

Author : Brian Buck,Vincent A. Macaulay
Publisher : Oxford : Clarendon Press ; New York : Oxford University Press
Page : 260 pages
File Size : 52,8 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015029163873

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Maximum Entropy in Action by Brian Buck,Vincent A. Macaulay Pdf

This book is a collection of introductory, interdisciplinary articles and lectures covering the fundamentals of the maximum entropy approach, a powerful new technique that provides a much needed extension of the established principles of rational inference in the sciences. Maximum entropy allows the interpretation of incomplete and "noisy" data, providing a description of the underlying physical systems. It has found application in both practical and theoretical studies ranging from image enhancement to nuclear physics, and from statistical mechanics to economics. The work explores these applications with specific problems of data analysis taken from the physical sciences. It will interest all physical scientists who deal with data and its interpretation, including statisticians and statistical physicists.

Maximum Entropy in Action

Brian Buck,Vincent A. Macaulay
Maximum Entropy in Action Book PDF

Author : Brian Buck,Vincent A. Macaulay
Publisher : Unknown
Page : 0 pages
File Size : 45,5 Mb
Release : 2023
Category : Bayesian statistical decision theory
ISBN : 1383026599

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Maximum Entropy in Action by Brian Buck,Vincent A. Macaulay Pdf

An account of the maximum entropy method and the related Bayesian probability theory, which are used to resolve the true structures underlying many types of data. The text aims to explain the role that entropy plays in the assignment of probabilities.

The Maximum Entropy Method

Nailong Wu
The Maximum Entropy Method Book PDF

Author : Nailong Wu
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 43,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642606298

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The Maximum Entropy Method by Nailong Wu Pdf

Forty years ago, in 1957, the Principle of Maximum Entropy was first intro duced by Jaynes into the field of statistical mechanics. Since that seminal publication, this principle has been adopted in many areas of science and technology beyond its initial application. It is now found in spectral analysis, image restoration and a number of branches ofmathematics and physics, and has become better known as the Maximum Entropy Method (MEM). Today MEM is a powerful means to deal with ill-posed problems, and much research work is devoted to it. My own research in the area ofMEM started in 1980, when I was a grad uate student in the Department of Electrical Engineering at the University of Sydney, Australia. This research work was the basis of my Ph.D. the sis, The Maximum Entropy Method and Its Application in Radio Astronomy, completed in 1985. As well as continuing my research in MEM after graduation, I taught a course of the same name at the Graduate School, Chinese Academy of Sciences, Beijingfrom 1987to 1990. Delivering the course was theimpetus for developing a structured approach to the understanding of MEM and writing hundreds of pages of lecture notes.

The Method of Maximum Entropy

Henryk Gzyl
The Method of Maximum Entropy Book PDF

Author : Henryk Gzyl
Publisher : World Scientific
Page : 161 pages
File Size : 44,9 Mb
Release : 1995
Category : Mathematics
ISBN : 9789810218126

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The Method of Maximum Entropy by Henryk Gzyl Pdf

This monograph is an outgrowth of a set of lecture notes on the maximum entropy method delivered at the 1st Venezuelan School of Mathematics. This yearly event aims at acquainting graduate students and university teachers with the trends, techniques and open problems of current interest. In this book the author reviews several versions of the maximum entropy method and makes its underlying philosophy clear.

Dictionary of Scientific Principles

Stephen Marvin
Dictionary of Scientific Principles Book PDF

Author : Stephen Marvin
Publisher : John Wiley & Sons
Page : 734 pages
File Size : 48,5 Mb
Release : 2012-11-27
Category : Science
ISBN : 9781118582398

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Dictionary of Scientific Principles by Stephen Marvin Pdf

Dictionary of Scientific Principles presents a unique and timeless collection of (almost) all known rules or laws commonly called principles, identified throughout the history of scientific development, their definition, and use. Exploring a broad range of disciplines, the book first lists more than 2,000 principles organized in a standard alphabetical order, then provides a list of subject headings for which related principles are identified. A staple addition to every library, the dictionary will also be of interest to scientists and general readers.

Signal Treatment and Signal Analysis in NMR

D.N. Rutledge
Signal Treatment and Signal Analysis in NMR Book PDF

Author : D.N. Rutledge
Publisher : Elsevier
Page : 547 pages
File Size : 49,7 Mb
Release : 1996-06-10
Category : Science
ISBN : 0080541208

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Signal Treatment and Signal Analysis in NMR by D.N. Rutledge Pdf

Signal analysis and signal treatment are integral parts of all types of Nuclear Magnetic Resonance. In the last ten years, much has been achieved in the development of dimensional spectra. At the same time new NMR techniques such as NMR Imaging and multidimensional spectroscopy have appeared, requiring entirely new methods of signal analysis. Up until now, most NMR texts and reference books limited their presentation of signal processing to a short introduction to the principles of the Fourier Transform, signal convolution, apodisation and noise reduction. To understand the mathematics of the newer signal processing techniques, it was necessary to go back to the primary references in NMR, chemometrics and mathematics journals. The objective of this book is to fill this void by presenting, in a single volume, both the theory and applications of most of these new techniques to Time-Domain, Frequency-Domain and Space-Domain NMR signals. Details are provided on many of the algorithms used and a companion CD-ROM is also included which contains some of the computer programs, either as source code or in executable form. Although it is aimed primarily at NMR users in the medical, industrial and academic fields, it should also interest chemometricians and programmers working with other techniques.

Intelligent Information and Database Systems

Ngoc-Thanh Nguyen,Bogdan Trawiński,Hamido Fujita,Tzung-Pei Hong
Intelligent Information and Database Systems Book PDF

Author : Ngoc-Thanh Nguyen,Bogdan Trawiński,Hamido Fujita,Tzung-Pei Hong
Publisher : Springer
Page : 815 pages
File Size : 55,5 Mb
Release : 2016-03-08
Category : Computers
ISBN : 9783662493816

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Intelligent Information and Database Systems by Ngoc-Thanh Nguyen,Bogdan Trawiński,Hamido Fujita,Tzung-Pei Hong Pdf

The two-volume proceedings of the ACIIDS 2016 conference, LNAI 9621 + 9622, constitutes the refereed proceedings of the 8th Asian Conference on Intelligent Information and Database Systems, held in Da Nang, Vietnam, in March 2016. The total of 153 full papers accepted for publication in these proceedings was carefully reviewed and selected from 392 submissions. They were organized in topical sections named: knowledge engineering and semantic Web; social networks and recommender systems; text processing and information retrieval; database systems and software engineering; intelligent information systems; decision support and control systems; machine learning and data mining; computer vision techniques; intelligent big data exploitation; cloud and network computing; multiple model approach to machine learning; advanced data mining techniques and applications; computational intelligence in data mining for complex problems; collective intelligence for service innovation, technology opportunity, e-learning, and fuzzy intelligent systems; analysis for image, video and motion data in life sciences; real world applications in engineering and technology; ontology-based software development; intelligent and context systems; modeling and optimization techniques in information systems, database systems and industrial systems; smart pattern processing for sports; and intelligent services for smart cities.

Intelligent Robotics and Applications

Honghai Liu,Zhouping Yin,Lianqing Liu,Li Jiang,Guoying Gu,Xinyu Wu,Weihong Ren
Intelligent Robotics and Applications Book PDF

Author : Honghai Liu,Zhouping Yin,Lianqing Liu,Li Jiang,Guoying Gu,Xinyu Wu,Weihong Ren
Publisher : Springer Nature
Page : 796 pages
File Size : 50,5 Mb
Release : 2022-08-09
Category : Computers
ISBN : 9783031138416

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Intelligent Robotics and Applications by Honghai Liu,Zhouping Yin,Lianqing Liu,Li Jiang,Guoying Gu,Xinyu Wu,Weihong Ren Pdf

The 4-volume set LNAI 13455 - 13458 constitutes the proceedings of the 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, which took place in Harbin China, during August 2022. The 284 papers included in these proceedings were carefully reviewed and selected from 442 submissions. They were organized in topical sections as follows: Robotics, Mechatronics, Applications, Robotic Machining, Medical Engineering, Soft and Hybrid Robots, Human-robot Collaboration, Machine Intelligence, and Human Robot Interaction.

Chemical Photocatalysis

Burkhard König
Chemical Photocatalysis Book PDF

Author : Burkhard König
Publisher : Walter de Gruyter GmbH & Co KG
Page : 656 pages
File Size : 46,9 Mb
Release : 2020-04-06
Category : Science
ISBN : 9783110576641

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Chemical Photocatalysis by Burkhard König Pdf

Visible light is an abundant source of energy. While the conversion of light energy into electrical energy (photovoltaics) is highly developed and commercialized, the use of visible light in chemical synthesis is far less explored. Chemical photocatalysts that mimic principles of biological photosynthesis utilize visible light to drive endothermic or kinetically hindered reactions.

Deep Reinforcement Learning in Action

Brandon Brown,Alexander Zai
Deep Reinforcement Learning in Action Book PDF

Author : Brandon Brown,Alexander Zai
Publisher : Simon and Schuster
Page : 381 pages
File Size : 43,6 Mb
Release : 2020-03-16
Category : Computers
ISBN : 9781638350507

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Deep Reinforcement Learning in Action by Brandon Brown,Alexander Zai Pdf

Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep reinforcement learning AI systems rapidly adapt to new environments, a vast improvement over standard neural networks. A DRL agent learns like people do, taking in raw data such as sensor input and refining its responses and predictions through trial and error. About the book Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym. What's inside Building and training DRL networks The most popular DRL algorithms for learning and problem solving Evolutionary algorithms for curiosity and multi-agent learning All examples available as Jupyter Notebooks About the reader For readers with intermediate skills in Python and deep learning. About the author Alexander Zai is a machine learning engineer at Amazon AI. Brandon Brown is a machine learning and data analysis blogger. Table of Contents PART 1 - FOUNDATIONS 1. What is reinforcement learning? 2. Modeling reinforcement learning problems: Markov decision processes 3. Predicting the best states and actions: Deep Q-networks 4. Learning to pick the best policy: Policy gradient methods 5. Tackling more complex problems with actor-critic methods PART 2 - ABOVE AND BEYOND 6. Alternative optimization methods: Evolutionary algorithms 7. Distributional DQN: Getting the full story 8.Curiosity-driven exploration 9. Multi-agent reinforcement learning 10. Interpretable reinforcement learning: Attention and relational models 11. In conclusion: A review and roadmap

X-Ray Compton Scattering

Malcolm J. Cooper,Malcolm Cooper,Peter E. Mijnarends,Nobuhiro Shiotani,Nobuhiko Sakai,Arun Bansil
X Ray Compton Scattering Book PDF

Author : Malcolm J. Cooper,Malcolm Cooper,Peter E. Mijnarends,Nobuhiro Shiotani,Nobuhiko Sakai,Arun Bansil
Publisher : Oxford University Press on Demand
Page : 393 pages
File Size : 49,7 Mb
Release : 2004-10-14
Category : Science
ISBN : 9780198501688

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X-Ray Compton Scattering by Malcolm J. Cooper,Malcolm Cooper,Peter E. Mijnarends,Nobuhiro Shiotani,Nobuhiko Sakai,Arun Bansil Pdf

With the development of potent x-ray sources, Compton scattering has become a standard tool for studying electron densities in materials. This text looks at the Compton scattering method, leading to a fundamental understanding of the electrical and magnetic properties of solid materials, both elements and compounds.

Bioenergetics

Davor Juretic
Bioenergetics Book PDF

Author : Davor Juretic
Publisher : CRC Press
Page : 288 pages
File Size : 55,7 Mb
Release : 2021-12-23
Category : Science
ISBN : 9781351172752

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Bioenergetics by Davor Juretic Pdf

Bioenergetics deals with the very first energy transformation steps performed by living cells. Increased dissipation is the primary effect of processing external energy packages. Enzyme-supported charge separation is the minor but essential outcome for maintaining life. This book explores the usefulness of dissecting the entropy production of enzymes involved in cellular defenses, fermentation, respiration, and photosynthesis, assuming that tightly regulated dissipation is the hallmark of life. Researchers, educators, and students of life sciences can find in this text many examples of how we can use the interdisciplinary approach to study cells' virtuoso ability to connect the microscopic to the macroscopic world. Each chapter is a self-contained unit with a glossary and selected references for further reading.

Geometric Perturbation Theory in Physics

Stephen Malvern Omohundro
Geometric Perturbation Theory in Physics Book PDF

Author : Stephen Malvern Omohundro
Publisher : World Scientific
Page : 594 pages
File Size : 44,7 Mb
Release : 1986
Category : Science
ISBN : 9971501368

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Geometric Perturbation Theory in Physics by Stephen Malvern Omohundro Pdf

This book which focusses on mechanics, waves and statistics, describes recent developments in the application of differential geometry, particularly symplectic geometry, to the foundations of broad areas of physics. Throughout the book, intuitive descriptions and diagrams are used to elucidate the mathematical theory. It develops a coordinate-free framework for perturbation theory and uses this to show how underlying symplectic structures arise from physical asymptotes. It describes a remarkable parity between classical mechanics which arises asymptotically from quantum mechanics and classical thermodynamics which arises asymptotically from statistical mechanics. Included here is a section with one hundred unanswered questions for further research.

Foundations of Intelligent Systems

Zhenkun Wen,Tianrui Li
Foundations of Intelligent Systems Book PDF

Author : Zhenkun Wen,Tianrui Li
Publisher : Springer
Page : 1153 pages
File Size : 47,6 Mb
Release : 2014-06-19
Category : Technology & Engineering
ISBN : 9783642549243

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Foundations of Intelligent Systems by Zhenkun Wen,Tianrui Li Pdf

"Foundations of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Artificial Intelligence Theories, Pattern Recognition, Intelligent System Models, Speech Recognition, Computer Vision, Multi-Agent Systems, Machine Learning, Soft Computing and Fuzzy Systems, Biological Inspired Computation, Game Theory, Cognitive Systems and Information Processing, Computational Intelligence, etc. The proceedings are benefit for both researchers and practitioners who want to utilize intelligent methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi’an, China.

Value and Reward Based Learning in Neurobots

Jeffrey L Krichmar,Florian Röhrbein
Value and Reward Based Learning in Neurobots Book PDF

Author : Jeffrey L Krichmar,Florian Röhrbein
Publisher : Frontiers Media SA
Page : 159 pages
File Size : 54,6 Mb
Release : 2015-03-05
Category : Neurosciences. Biological psychiatry. Neuropsychiatry
ISBN : 9782889194315

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Value and Reward Based Learning in Neurobots by Jeffrey L Krichmar,Florian Röhrbein Pdf

Organisms are equipped with value systems that signal the salience of environmental cues to their nervous system, causing a change in the nervous system that results in modification of their behavior. These systems are necessary for an organism to adapt its behavior when an important environmental event occurs. A value system constitutes a basic assumption of what is good and bad for an agent. These value systems have been effectively used in robotic systems to shape behavior. For example, many robots have used models of the dopaminergic system to reinforce behavior that leads to rewards. Other modulatory systems that shape behavior are acetylcholine’s effect on attention, norepinephrine’s effect on vigilance, and serotonin’s effect on impulsiveness, mood, and risk. Moreover, hormonal systems such as oxytocin and its effect on trust constitute as a value system. This book presents current research involving neurobiologically inspired robots whose behavior is: 1) Shaped by value and reward learning, 2) adapted through interaction with the environment, and 3) shaped by extracting value from the environment.