Ubiquitous Machine Learning And Its Applications
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| Author | : Kumar, Pradeep |
| Publisher | : IGI Global |
| Total Pages | : 281 |
| Release | : 2017-03-03 |
| Genre | : Computers |
| ISBN | : 1522525467 |
Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.
| Author | : Michael May |
| Publisher | : Springer |
| Total Pages | : 261 |
| Release | : 2010-10-07 |
| Genre | : Computers |
| ISBN | : 3642163920 |
Knowledge discovery in ubiquitous environments is an emerging area of research at the intersection of the two major challenges of highly distributed and mobile systems and advanced knowledge discovery systems. It aims to provide a unifying framework for systematically investigating the mutual dependencies of otherwise quite unrelated technologies employed in building next-generation intelligent systems: machine learning, data mining, sensor networks, grids, peer-to-peer networks, data stream mining, activity recognition, Web 2.0, privacy, user modelling and others. This state-of-the-art survey is the outcome of a large number of workshops, summer schools, tutorials and dissemination events organized by KDubiq (Knowledge Discovery in Ubiquitous Environments), a networking project funded by the European Commission to bring together researchers and practitioners of this emerging community. It provides in its first part a conceptual foundation for the new field of ubiquitous knowledge discovery - highlighting challenges and problems, and proposing future directions in the area of 'smart', 'adaptive', and 'intelligent' learning. The second part of this volume contains selected approaches to ubiquitous knowledge discovery and treats specific aspects in detail. The contributions have been carefully selected to provide illustrations and in-depth discussions for some of the major findings of Part I.
| Author | : Habib, Maki K. |
| Publisher | : IGI Global |
| Total Pages | : 278 |
| Release | : 2019-09-15 |
| Genre | : Education |
| ISBN | : 1522577947 |
Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals.
| Author | : Terry T. Kidd |
| Publisher | : IAP |
| Total Pages | : 358 |
| Release | : 2011-07-01 |
| Genre | : Education |
| ISBN | : 1617354376 |
Ubiquitous Learning: Strategies for Pedagogy, Course Design, and Technology bridges the gap between digital media and education, by presenting an intriguing look on the future of education. By combining theory, research, and practice, this book paints a broad picture of the field of ubiquitous learning by focuses on how to use theory and research to enhance technology integration to support teaching and learning through instructional design strategies for instruction, models and frameworks for course design, and applications of mobile and social media tools to create, implement, and deliver a ubiquitous learning environment. This book is of interest to researchers and graduate students in educational technology, information sciences, adult learning and other learning and performance fields, as well as university faculty, teachers, administrators, policymakers, and industry leaders, who can use this text to make essential decisions related to their respective roles in education. Ubiquitous Learning: Strategies for Pedagogy, Course Design, and Technology is a great reference for those who wish to enhance their levels of teaching and student engagement though the use of technology.
| Author | : R. Anandan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 498 |
| Release | : 2021-10-25 |
| Genre | : Computers |
| ISBN | : 1119752159 |
HUMAN COMMUNICATION TECHNOLOGY A unique book explaining how perception, location, communication, cognition, computation, networking, propulsion, integration of federated Internet of Robotic Things (IoRT) and digital platforms are important components of new-generation IoRT applications through continuous, real-time interaction with the world. The 16 chapters in this book discuss new architectures, networking paradigms, trustworthy structures, and platforms for the integration of applications across various business and industrial domains that are needed for the emergence of intelligent things (static or mobile) in collaborative autonomous fleets. These new apps speed up the progress of paradigms of autonomous system design and the proliferation of the Internet of Robotic Things (IoRT). Collaborative robotic things can communicate with other things in the IoRT, learn independently, interact securely with the world, people, and other things, and acquire characteristics that make them self-maintaining, self-aware, self-healing, and fail-safe operational. Due to the ubiquitous nature of collaborative robotic things, the IoRT, which binds together the sensors and the objects of robotic things, is gaining popularity. Therefore, the information contained in this book will provide readers with a better understanding of this interdisciplinary field. Audience Researchers in various fields including computer science, IoT, artificial intelligence, machine learning, and big data analytics.
| Author | : Olivas, Emilio Soria |
| Publisher | : IGI Global |
| Total Pages | : 852 |
| Release | : 2009-08-31 |
| Genre | : Computers |
| ISBN | : 1605667676 |
"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.
| Author | : Ethem Alpaydin |
| Publisher | : MIT Press |
| Total Pages | : 225 |
| Release | : 2016-10-07 |
| Genre | : Computers |
| ISBN | : 0262529513 |
A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.
| Author | : John Cassidy |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 194 |
| Release | : 2020-09-09 |
| Genre | : Medical |
| ISBN | : 1789846897 |
There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.
| Author | : Emmanuel Ndhlovu |
| Publisher | : Springer Nature |
| Total Pages | : 288 |
| Release | : |
| Genre | : |
| ISBN | : 3031630777 |
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 2494 |
| Release | : 2018-02-02 |
| Genre | : Computers |
| ISBN | : 1522552057 |
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
