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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...
Discovering the Brain
The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read di...
Information, Accountability, and Cumulative Learning
Examines a set of voter information campaigns worldwide to assess their effectiveness, and develops a new social science research model aimed at cumulative learning. It will appeal to academics and practitioners looking for innovative ways to conduct social science research that is rigorous, policy-relevant, and cumulative.
Powerful Teaching
Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student a...
Information Literacy and Lifelong Learning
This book reviews the role of information literacy (IL) in developing employability skills, personal health management and informal learning from a variety of areas including: information policy issues, information usage and training needs and skills development. Early years education, lifelong learning and the role of IL in relevant organisations, including government departments, skills agencies, and professional bodies will also be considered. With a UK focus, this book also considers the leading role of the US in the development of information literacy policy. Case studies and examples of good practise are included and discussed, drawn primarily from Europe, North America and Australasia, also identified examples from other countries. Looks at value and impact and discusses policymaking and issues for the future. - Conveniently brings together a usable text to which people can easily refer to for an overview of a diffuse area - No existing book considers this subject area from a UK and European perspective - Also aimed at a non-traditional readership including educationalists, lifelong learning activists and those involved with informal learning activities
Learning Theodicy
This publication contains a practical-theological study on the problem of theodicy as a subject-matter for religious education. It offers new insights on how the problem of evil may be dealt with in the classroom.
Learning and Study Strategies
This volume reflects current research on the cognitive strategies of autonomous learning. Topics such as metacognition, attribution theory, self-efficacy, direct instruction, attention, and problem solving are discussed by leading researchers in learning and study strategies. The contributors to this volume acknowledge and address the concerns of educators at the primary, secondary, and postsecondary school levels. The blend of theory and practice is an important feature of this volume.
Web-Based Learning
Web-Based Learning: Theory, Research, and Practice explores the state of the art in the research and use of technology in education and training from a learning perspective. This edited book is divided into three major sections: *Policy, Practice, and Implementation Issues -- an overview of policy issues, as well as tools and designs to facilitate implementation of Web-based learning; *Theory and Research Issues -- a look at theoretical foundations of current and future Web-based learning; the section also includes empirical studies of Web-based learning; and *Summary and Conclusions -- highlights key issues in each chapter and outlines a research and development agenda. Within this framewor...
Application of Artificial Intelligence in Process Control
This book is the result of a united effort of six European universities to create an overall course on the appplication of artificial intelligence (AI) in process control. The book includes an introduction to key areas including; knowledge representation, expert, logic, fuzzy logic, neural network, and object oriented-based approaches in AI. Part two covers the application to control engineering, part three: Real-Time Issues, part four: CAD Systems and Expert Systems, part five: Intelligent Control and part six: Supervisory Control, Monitoring and Optimization.
Relating Theory and Data
This festschrift represents the proceedings of a conference held in honor of Bennet B. Murdock, one of the foremost researchers and theoreticians on human memory and cognition. A highly renowned investigator respected for both his empirical and theoretical contributions to the field, Murdock summarized and focused a large amount of research activity with his 1974 book Human Memory: Theory and Data. This unique collection of articles addresses many of the issues discussed in his classic text. Divided into five principal sections, its coverage includes: theoretical perspectives on human memory ranging from a biological view to an exposition of the value of formal models; recent progress in the study of processes in immediate memory and recognition memory; and new developments in componential and distributed approaches to the modeling of human memory. Each section concludes with an integrative commentary provided by some of Murdock’s eminent colleagues from the University of Toronto. Thus, this book offers a diversity of perspectives on contemporary topics in the discipline, and will be of interest to students and scholars in all branches of cognitive science.
