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Information Theory, Inference and Learning Algorithms
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independ...
Sustainable Energy
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Climate Gamble
This is the updated and improved 2017 edition of Climate Gamble. "Climate Gamble - Is Anti-Nuclear Activism Endangering Our Future?" is a thought-provoking, short and easy to read book on one of the biggest problems of our time, climate change, and one of its most misunderstood and misrepresented solution, nuclear power. From the back cover: Humankind has won many great victories in the fight against climate change. However, these victories are rarely acknowledged or reported. Is this because they were won with nuclear power? Preventing dangerous climate change requires world energy production to be almost completely free from fossil fuels by 2050. At the same time, energy consumption keeps ...
Global Carbon Pricing
Why the traditional “pledge and review” climate agreements have failed, and how carbon pricing, based on trust and reciprocity, could succeed. After twenty-five years of failure, climate negotiations continue to use a “pledge and review” approach: countries pledge (almost anything), subject to (unenforced) review. This approach ignores everything we know about human cooperation. In this book, leading economists describe an alternate model for climate agreements, drawing on the work of the late Nobel laureate Elinor Ostrom and others. They show that a “common commitment” scheme is more effective than an “individual commitment” scheme; the latter depends on altruism while the f...
Advances in Independent Component Analysis
Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the latest approaches to ICA problems, including an investigation into certain "hard problems" for the very first time. Comprising contributions from the most respected and innovative researchers in the field, this volume will be of interest to students and researchers in computer science and electrical engineering; research and development personnel in disciplines such as statistical modelling and data analysis; bio-informatic workers; and physicists and chemists requiring novel data analysis methods.
Food and Climate Change Without the Hot Air
A quarter of carbon emissions is from food. This accessible, quantitative description of how food and climate change are connected, inspired by the author's former mentor David Mackay (Sustainable Energy without the Hot Air), steers clear of emotive words to focus on facts.
Bayesian Reasoning and Machine Learning
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
Codes, Systems, and Graphical Models
Coding theory, system theory, and symbolic dynamics have much in common. A major new theme in this area of research is that of codes and systems based on graphical models. This volume contains survey and research articles from leading researchers at the interface of these subjects.
Advanced Lectures on Machine Learning
Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.
The Practical Pumping Handbook
The Practical Pumping Handbook is a practical account of pumping, piping and seals starting with basics and providing detailed but accessible information on all aspects of the pumping process and what can go wrong with it. Written by an acknowledged expert with years of teaching experience in the practical understanding of pumps and systems. - Aids understanding of pumps to minimize failures and time-out - A practical handbook covering the basics of the pumping process - Written by an acknowledged expert
