Graphical Models for Machine Learning and Digital Communication

In recent years, the process and outlet for public speaking has grown with digital progressions such as TED talks, and Facebook Live. Purposeful Communication in a Digital Age, 2nd Edition provides a

In the first section of this collection, researchers from American, European, and Asian universities evaluate the effectiveness of online learning and virtual instruction at the high school and colleg

This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues

"This book provides educators with valuable insight into methods and opportunities for using technology to teach students learning a foreign language, offering theoretical and pragmatic cases-illustra

Do you need to know how to develop more efficient digital communication systems? Based on the author's experience of over thirty years in industrial design, this practical guide provides detailed coverage of synchronization subsystems and their relationship with other system components. Readers will gain a comprehensive understanding of the techniques needed for the design, performance analysis and implementation of synchronization functions for a range of different modern communication technologies. Specific topics covered include frequency-looked loops in wireless receivers, optimal OFDM timing phase determination and implementation, and interpolation filter design and analysis in digital resamplers. Numerous implementation examples help readers to develop the necessary practical skills, and slides summarizing key concepts accompany the book online. This is an invaluable guide and essential reference for both practicing engineers and graduate students working in digital communication

Introducing Digital Communications into Your Medical Practice discusses how electronic medical records and personal health records now digitize patient information and make it accessible for review an

Introducing Digital Communications into Your Medical Practice discusses how electronic medical records and personal health records now digitize patient information and make it accessible for review a

Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online.

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient represent

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning w

Learn a simpler and more effective way to analyze data and predict outcomes with PythonMachine Learning in Python shows you how to successfully analyze data using only two core machine learning algori

Online Communication in Language Learning and Teaching offers theoretical and practical as well as research perspectives for approaching technologies that support online communication for language lea

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This textbook offers an interdisciplinary, comprehensive and state-of-the-art overview of the media linguistics approaches to explain and understand digital communication and multimodality. Linking the fields of communication studies, applied linguistics and journalism, it grounds communication practices in a deep understanding of the social and societal implications of language use in digital media. The tools to analyse multimodal texts are analysed in light of the advantages and constraints that different communication modes pose, both individually and in combination. Aimed at upper level undergraduates and graduates in applied linguistics, communication and media studies, including journalism and PR, this textbook contains case studies and professional examples highlighting the interplay between language use and digital communication and encouraging the reader to reflect on the themes covered, and put the acquired knowledge into practice. Online resources for students include videos

This textbook offers an interdisciplinary, comprehensive and state-of-the-art overview of the media linguistics approaches to explain and understand digital communication and multimodality. Linking the fields of communication studies, applied linguistics and journalism, it grounds communication practices in a deep understanding of the social and societal implications of language use in digital media. The tools to analyse multimodal texts are analysed in light of the advantages and constraints that different communication modes pose, both individually and in combination. Aimed at upper level undergraduates and graduates in applied linguistics, communication and media studies, including journalism and PR, this textbook contains case studies and professional examples highlighting the interplay between language use and digital communication and encouraging the reader to reflect on the themes covered, and put the acquired knowledge into practice. Online resources for students include videos

"This book includes the exploration of teaching models that cover the K-20 spectrum, as well as the important sector of preparing teachers who are ready to teach in the new and emerging environment. I

“Those interested in strengthening the ties between theory and practice and between faculty and student affairs can find inspiration here. Those committed to developing the co-curriculum to promote se

This volume, seventh in the Service-Learning in the Disciplines Series, explores the important lessons women’s history and women’s studies hold for the broader service-learning community and the criti

Thirteenth in the Service-Learning in Disciplines series, this book provides a sound approach to the many conceptual and methodological changes that have taken place in the teaching of languages and c

The editors and authors of this book, seventh in the Service-Learning in the Disciplines Series, bring their own sociological wisdom and imagination to demonstrate how service-learning can effectively

This volume, sixth in the Service-Learning in the Disciplines Series, reflects the growing interest among psychology educators in service-learning from the perspectives of research, practice, and teac

Formerly a SkyLight publicationBy using the holistic models presented in this invaluable resource, teachers can structure curricula in ways that give them more time to teach.

This book guides the adoption, design, development and expectation of future digital teaching and learning projects/programs in K12 schools. It provides a series of case studies and reports experience

This job-embedded professional development program leads to tech-savvy teachers and students, with a modular framework, tips on using PLNs, technology-related supports, and a companion website.

As ICT continues to grow as a key resource in the classroom, this book helps students and teachers to get the best out of e-literature, with practical ideas for work schemes for children at all levels

Written by two of the field’s most eminent experts, this exciting new introduction to mass media makes connections between communication research and the reality of the media industry. Understandin