Graphical Models for Machine Learning and Digital Communication

Featuring new strategies, current research, and differentiated teaching models, this updated edition offers substantive methods for increasing students' content learning by helping them become better

In Hong Kong, the banking system is the primary source of financial stability risk. Post-2008 regulatory reforms have focused on financial stability policies and tools while neglecting the design of supervisory models. This book provides a comparative analysis of how supervisory models affect the management of financial stability regulations in Hong Kong's banking system. Regulatory issues discussed span prudential regulations, systemically important banks, unconventional liquidity tools, deposit insurance, lender of last resort, resolution regimes, central clearing counterparties and derivatives, Renminbi infrastructure, stock and bond connect schemes, distributed ledger technology, digital yuan, US dollar sanctions, cryptocurrencies, RegTech, and FinTech. A Regulatory Design for Financial Stability in Hong Kong elucidates the flaws and synergies in Hong Kong's banking regulatory framework and proposes conventional and innovative regulatory reforms. This book will be of great interest

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.

Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal p

Language is essential to human life, both as a basic social necessity and also as a powerful and complex social resource. For the Love of Language: An Introduction to Linguistics offers a comprehensive introduction to the workings of language and the role of linguistics in investigating its fundamental design. This thorough and engaging investigation into language and linguistics covers topics including: • strategies for learning about how language works • using linguistics to address real-world problems • the structure and meaning of words • the systems that organise language • changes to language over time • how language is used in written and spoken communication • the links between language, the mind and the world. Written by authors with extensive academic experience in the field of linguistics and including examples from Australia, New Zealand and around the world to engage the reader, For the Love of Language is a lively yet comprehensive resource for undergraduate student

Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance.It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no

The context for the teaching and learning of English for specific disciplinary purposes is undergoing profound changes under the influence of economic globalization and new digital communication techn

This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations a

Cinematics Storyboard Workshopis for any artist who wants to learn how to create professional, production-ready storyboards for film, animation, television, and video game cinematics.Modeled on the Cinematics course by artist and educator Gregg Davidson, this must-have guidebook is a concise, in-depth guide to the fundamentals: from storyboard mechanics and camera angles, to shot progression and staging, as well as current digital storyboarding and previsualization practices. Founder of The Animation Academy, Charles Zembillas, calledCinematics Storyboard Workshop“one of the best books on learning how to storyboard.”

Intellectual property transactions underlie large segments of the global economy, from pharmaceuticals to computing, entertainment to digital content. This first-of-its-kind resource combines practical contract drafting and negotiation skills with substantive legal doctrine in the rapidly growing area of intellectual property transactions and licensing. Though primarily designed for classroom use, it is also a must-have legal reference work for every lawyer involved in the technology, biopharma, entertainment, media or financial services industries. It includes practical drafting models and explanations of key contractual provisions such as field of use, exclusivity, milestones, royalties, termination, indemnification and liability, and combines these with discussion of the latest cases interpreting these provisions. Numerous legal doctrines that affect the enforcement of IP agreements are also covered, including exhaustion, first sale, misuse, estoppel, antitrust and bankruptcy law, a

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

CELEBRATE FOOTBALL EVERY DAY OF THE YEAR WITH THE BRAND-NEW BOOK IN THE BESTSELLING SERIES WHERE FOOTBALL AND FACTS COME TOGETHER IN A DREAM TEAM FORMATION. THE PERFECT GIFT FOR ALL YOUNG FANS."The ultimate football yearbook where you can discover a new fun footie fact for every day of the year."-The Week JuniorWelcome to Football School Facts! It’s a book of facts and so let’s start with an important one: football is the best sport in the world.- Did you know that Erling Haaland is a record-breaking goalscoring machine?- That a player was once sent off for farting on the pitch?- Or that Diego Maradona has a religion named after him?Discover all this and much, much more all about your favourite players, great goals, super stadiums and marvellous mascots – the perfect gift for all young fans and their families to enjoy."An engaging, fun read that will keep children laughing, learning and dreaming of the pitch."- Women's Weekly"We love this series!"-Match of the Day Weekly***There’s a wh

Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning an

This book presents a model of computing and a measure of computational complexity which are intended to facilitate analysis of computations performed by people, machines, or a mixed system of people and machines. The model is designed to apply directly to models of economic theory, which typically involve continuous variables and smooth functions, without requiring analysis of approximations. The model permits analysis of the feasibility and complexity of the calculations required of economic agents in order for them to arrive at their decisions. The treatment contains applications of the model to game theory and economics, including comparison of the complexities of different solution concepts in certain bargaining games, and the trade-off between communication and computation in an example of an Edgeworth Box economy.

This book presents a model of computing and a measure of computational complexity which are intended to facilitate analysis of computations performed by people, machines, or a mixed system of people and machines. The model is designed to apply directly to models of economic theory, which typically involve continuous variables and smooth functions, without requiring analysis of approximations. The model permits analysis of the feasibility and complexity of the calculations required of economic agents in order for them to arrive at their decisions. The treatment contains applications of the model to game theory and economics, including comparison of the complexities of different solution concepts in certain bargaining games, and the trade-off between communication and computation in an example of an Edgeworth Box economy.

Fold, decorate & play!Learning to fold simple paper models is just the beginning in Origami Games for Kids! Children of all ages can enjoy playing 15 interactive games with their finished origami craf

Build children’s proficiency with oral and written communication, promote social and emotional learning (SEL), and allow students to work toward standards while developing critical skills they&

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting.This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.

This book explores how individual actions coordinate to produce unintended social consequences. In the past this phenomenon has been explained as the outcome of rational, self-interested individual behaviour. Professor Bicchieri shows that this is in no way a satisfying explanation. She discusses how much knowledge is needed by agents in order to coordinate successfully. If the answer is unbounded knowledge, then a whole variety of paradoxes arise. If the answer is very little knowledge, then there seems hardly any possibility of attaining coordination. The solution to coordination and cooperation is for agents to learn about each other. The author concludes that rationality must be supplemented by models of learning and by an evolutionary account of how social order (i.e. spontaneous coordinated behaviour) can persist.

Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramificatio

Presents various digital tools for news gathering, communication, editing, and production, and discusses the future of journalism and its education in the context of emerging technology.

MyLab™ is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the lear

With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and sp

Channel coding lies at the heart of digital communication and data storage, and this detailed introduction describes the core theory as well as decoding algorithms, implementation details, and performance analyses. In this book, Professors Ryan and Lin provide clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes. They also present detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, and product codes, providing a one-stop resource for both classical and modern coding techniques. Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then extend to advanced topics such as code ensemble performance analyses and algebraic code design. 250 varied and stimulating end-of-chapter problems are also included to test and enhance learning, making this an essential resource for students and practitioners a

What if listening could be your child’s greatest superpower?Imagine your little one mastering focus, communication, and empathy—just by enjoying a fun and colorful story! Whether you're a parent, teacher, or homeschooler, Listening Is My Superpower is the perfect kids book to teach active listening, manners, discipline, and following rules and instructions in a way kids truly understand.Meet Lucas, a curious and energetic boy who discovers that listening isn’t just about hearing—it’s a real superpower that helps him succeed in school, team sports, taking care of a pet, and more. When he learns the secret of the “Listening Star,” Lucas begins to focus better, follow directions, and connect with others through kindness and teamwork.With vibrant illustrations, fun rhymes, and relatable moments, this picture book helps kids ages 4–8 build essential life skills through engaging storytelling—and makes learning feel like play!✅ Why Parents & Educators Love This Book:Relatable & Intera

Today, most couples lack role models for how to create a successful marriage. Many have watched their own parents fight and divorce, or watched as couples they know struggle to maintain communication

This comprehensive text is a revised and greatly expanded second edition of a book first published in 1987, and provides a thorough introduction to the complex fields of signal coding and signal processing. Among the key topics covered are: the fundamentals of pulse code modulation; modern data compression techniques; block and convolutional error control codes; transmission coding techniques; digital filters; infinite and finite impulse response filters; adaptive filters; and fast Fourier transform theory, implementation and applications. Complete with problems and solutions, and containing over 230 diagrams, this textbook will be invaluable to third and fourth year undergraduates in electronic, electrical or communication engineering. It will also act as a useful reference for anyone working in this technologically important field.

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing

This accessible and entertaining textbook introduces students to both traditional and more contemporary approaches to sociolinguistics in a real-world context, addressing current social problems that students are likely to care about, such as racism, inequality, political conflict, belonging, and issues around gender and sexuality. Each chapter includes exercises, case studies and ideas for small-scale research projects, encouraging students to think critically about the different theories and approaches to language and society, and to interrogate their own beliefs about language and communication. The book gives students a grounding in the traditional concepts and techniques upon which sociolinguistics is built, while also introducing new developments from the last decade, such as translanguaging, multimodality, superdiversity, linguistic landscapes and language and digital media. Students will also have online access to more detailed examples, links to video and audio files, and more

This accessible and entertaining textbook introduces students to both traditional and more contemporary approaches to sociolinguistics in a real-world context, addressing current social problems that students are likely to care about, such as racism, inequality, political conflict, belonging, and issues around gender and sexuality. Each chapter includes exercises, case studies and ideas for small-scale research projects, encouraging students to think critically about the different theories and approaches to language and society, and to interrogate their own beliefs about language and communication. The book gives students a grounding in the traditional concepts and techniques upon which sociolinguistics is built, while also introducing new developments from the last decade, such as translanguaging, multimodality, superdiversity, linguistic landscapes and language and digital media. Students will also have online access to more detailed examples, links to video and audio files, and more

Why is crime persistent over generations, within families and within certain individuals? Is crime the manifestation of an inherited latent trait or the result of a failure of socialization and norm-setting processes? Why do youths commit crimes? Delinquency and Crime contains essays by nine leading criminologists that seek to answer these and other questions by describing current theories of crime and the research evidence that supports them. The authors' views on crime causation go beyond traditional criminological theories of strain, cultural deviance, social control, differential association and social learning to present emerging and integrated models of the origins of crime, including antisocial peer socialization, social development, interactional theory, behavior genetics, and community determinants. Each essay explores the practical implication of the authors' theoretical work for crime prevention and control.

Why is crime persistent over generations, within families and within certain individuals? Is crime the manifestation of an inherited latent trait or the result of a failure of socialization and norm-setting processes? Why do youths commit crimes? Delinquency and Crime contains essays by nine leading criminologists that seek to answer these and other questions by describing current theories of crime and the research evidence that supports them. The authors' views on crime causation go beyond traditional criminological theories of strain, cultural deviance, social control, differential association and social learning to present emerging and integrated models of the origins of crime, including antisocial peer socialization, social development, interactional theory, behavior genetics, and community determinants. Each essay explores the practical implication of the authors' theoretical work for crime prevention and control.

Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive sea

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search

The steady evolution of wireless communication technologies continues to pave the way for the implementation of innovative services and devices in modern vehicles. These include analog and digital aud

This book presents a variety of approaches and applications for using data mining and machine learning techniques in the context of event mining. It offers an introductory overview on recent developme

Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models. ICA provides a better decomposition than other well-known models such as principal component analysis. This self-contained book contains a structured series of edited papers by leading researchers in the field, including an extensive introduction to ICA. The major theoretical bases are reviewed from a modern perspective, current developments are surveyed and many case studies of applications are described in detail. The latter include biomedical examples, signal and image denoising and mobile communications. ICA is discussed in the framework of general linear models, but also in comparison with other paradigms such as neural network and graphical modelling methods. The book is ideal for researchers and graduate students in the field.

Prepare your students for citizenship in today's world with the first fully integrated print and digital learning experience for civics and economics.Focus on the Essential Questions with content buil