The authors define personal learning networks (PLNs) as informal online networks for lifelong learning. With this guide, teachers and administrators will first learn how to create their own PLNs to be
Most school librarians are solo librarians working with little direct contact with their counterparts in schools or in other types of libraries. This makes it very difficult to keep up with trends an
Written by experts in the field, this book describes the Personal Network architecture and its various componentsThis book focuses on networking and security aspects of Personal Networks (PNs). Given
The effort to understand personal relationships has traditionally focused on the individual characteristics of participants. Personal Relationships and Personal Networks takes this analysis a step fur
This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly im
Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All t
With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In f
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is pres
Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new dir
This ambitious multidisciplinary volume assembles diverse critical-theory approaches to the current and future states of networked learning. Expert contributors expand upon the existing literature by
There is a moral to this book, which was awarded the 2011 George R. Terry Book Award, a bit of Confucian wisdom often ignored in social network analysis: "Worry not that no one knows you, seek to be w
Lv et al. (Sichuan U., China) focus on the convergence analysis of subspace learning algorithms of neural networks and the ways to extend the use of these networks in fields like biomedical signal pro
There is a moral to this book, a bit of Confucian wisdom often ignored in social network analysis: "Worry not that no one knows you, seek to be worth knowing." This advice is contrary to the usual so
For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Neural Networks and Learning Machines, Third Edition i
This book explores the creation of 'learning networks' and sheds light on how they function:- real versus virtual forms of interaction, collaboration versus competition in the learning process, and jo
Innovation, Networks and Learning Regions? address key issues of understanding in contemporary economic geography and local economic policy making in cities and regions in the advanced economies. Deve
Wireless LANs are the 'silver bullet' for networks of the future, allowing small communities of office workers, industrial workers, hospital employees, technical teams, etc. to communicate via their m
