Learning With Uncertainty
DOWNLOAD
Download Learning With Uncertainty PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learning With Uncertainty book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Learning With Uncertainty
DOWNLOAD
Author : Xizhao Wang
language : en
Publisher: CRC Press
Release Date : 2016-11-25
Learning With Uncertainty written by Xizhao Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-25 with Business & Economics categories.
Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion, and (4) Ensemble learning in a framework of uncertainty. The book starts with the introduction to uncertainty including randomness, roughness, fuzziness and non-specificity and then comprehensively discusses a number of key issues in learning with uncertainty, such as uncertainty representation in learning, the influence of uncertainty on the performance of learning system, the heuristic design with uncertainty, etc. Most contents of the book are our research results in recent decades. The purpose of this book is to help the readers to understand the impact of uncertainty on learning processes. It comes with many examples to facilitate understanding. The book can be used as reference book or textbook for researcher fellows, senior undergraduates and postgraduates majored in computer science and technology, applied mathematics, automation, electrical engineering, etc.
Uncertainty A Catalyst For Creativity Learning And Development
DOWNLOAD
Author : Ronald A. Beghetto
language : en
Publisher: Springer Nature
Release Date : 2022-07-18
Uncertainty A Catalyst For Creativity Learning And Development written by Ronald A. Beghetto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Education categories.
This edited volume brings together a group of international researchers and theorists from various intellectual and analytic traditions to explore the role uncertainty plays in creativity, learning, and development. Contributors to this volume draw on existing programs of research as well as introduce new and even speculative directions for research, theory and practice. Learning and life are filled with uncertainty. Although the experience of uncertainty can cause emotional discomfort or cognitive rigidity, uncertainty serves as a catalyst and condition for change. In this way, uncertainty represents a core facet in the interrelationship among creativity, learning, and development. Considerations for both the benefits and potential costs of uncertainty will be addressed in this volume with an aim of understanding how uncertainty can be better understood in light of creativity, learning, and development. Taken together this volume stands to contribute to our collective understanding of the role that uncertainty plays in learning and life and highlights how conceptualizing and studying uncertainty in new ways can promote positive and lasting change.
Learning For Uncertainty
DOWNLOAD
Author : G. Williamson McDiarmid
language : en
Publisher: Routledge
Release Date : 2022-01-31
Learning For Uncertainty written by G. Williamson McDiarmid and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Education categories.
Learning for Uncertainty explores technology’s role in education, specifically unpacking the question: How should educators prepare today’s children for a world that has yet to be made? As technology evolves faster than our capacity to fully understand the social, cultural, economic, and moral implications of many innovations, today’s educators are tasked with the unique role of preparing students to capitalize on technology’s opportunities and also mitigate its dangers to their society, to democratic processes, and to institutions. Veteran educators McDiarmid and Zhao explore the implications of emerging technologies for future jobs, organizations, students, and learning, covering topics such as • The future of work and workers as technology eliminates some industries while creating new ones. • Potential futures, both bright and dark, awaiting students. • The qualities, dispositions, social behaviors, and skills that are likely to advantage students in the future. • The possibility of technology to revolutionize education in ways that will better position students for an uncertain future. • How technology can free teachers from time and effort devoted to routine matters to instead assuming roles that are potentially more satisfying and supportive of their students’ learning. • Learning opportunities and educator roles that have the potential to bring about needed changes. • Capitalizing on these uncertain times to rethink curriculum, pedagogy, opportunities to learn, and the organization of school as well as the roles of students, educators, parents, and policymakers. This latest book in the Routledge Leading Change series is ideal reading for educators and policymakers in both P–12 and higher education interested in ensuring our education systems provide the experiences and learning opportunities necessary to cultivate the innovative, iconoclastic, and generative thinkers and creators needed for a future that nourishes the minds, bodies, and spirits of all.
Artificial Intelligence And Machine Learning For Open World Novelty
DOWNLOAD
Author :
language : en
Publisher: Elsevier
Release Date : 2024-02-20
Artificial Intelligence And Machine Learning For Open World Novelty written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Computers categories.
Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on - Contains novel subject matter that is relevant to computer science - Includes the expertise of contributing authors - Presents an easy to comprehend writing style
Teacher Training And Student Learning Past Values Present Uncertainties And Future Prospects
DOWNLOAD
Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-10-15
Teacher Training And Student Learning Past Values Present Uncertainties And Future Prospects written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-15 with Education categories.
The contributions in this volume provide a comprehensive picture of the challenges and opportunities facing teacher training today. There is a growing awareness of the importance of holistic, culturally sensitive, ethically oriented and pedagogically innovative approaches. The teaching figure emerges as a reflective agent, a promoter of equity, a facilitator of learning, and a professional in a state of constant evolution. Rather than offering a single model, this volume invites the comparison of experiences, the exploration of complexity, and the construction of training courses capable of responding to the needs of schools in the present and the future.
Deep Learning For Unmanned Systems
DOWNLOAD
Author : Anis Koubaa
language : en
Publisher: Springer Nature
Release Date : 2021-10-01
Deep Learning For Unmanned Systems written by Anis Koubaa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Technology & Engineering categories.
This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets. In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS) The book chapters present various techniques of deep learning for robotic applications. The book chapters contain a good literature survey with a long list of references. The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques. The book chapters are lucidly illustrated with numerical examples and simulations. The book chapters discuss details of applications and future research areas.
Controlling Uncertainty
DOWNLOAD
Author : Magda Osman
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-18
Controlling Uncertainty written by Magda Osman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-18 with Psychology categories.
Controlling Uncertainty: Decision Making and Learning in Complex Worlds reviews and discusses the most current research relating to the ways we can control the uncertain world around us. Features reviews and discussions of the most current research in a number of fields relevant to controlling uncertainty, such as psychology, neuroscience, computer science and engineering Presents a new framework that is designed to integrate a variety of disparate fields of research Represents the first book of its kind to provide a general overview of work related to understanding control
Learning For Sustainability In Times Of Accelerating Change
DOWNLOAD
Author : Arjen E.J. Wals
language : en
Publisher: BRILL
Release Date : 2023-09-04
Learning For Sustainability In Times Of Accelerating Change written by Arjen E.J. Wals and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with Philosophy categories.
We live in turbulent times, our world is changing at accelerating speed. Information is everywhere, but wisdom appears in short supply when trying to address key inter-related challenges of our time such as; runaway climate change, the loss of biodiversity, the depletion of natural resources, the on-going homogenization of culture, and rising inequity. Living in such times has implications for education and learning. This book explores the possibilities of designing and facilitating learning-based change and transitions towards sustainability. In 31 chapters contributors from across the world discuss (re)emerging forms of learning that not only assist in breaking down unsustainable routines, forms of governance, production and consumption, but also can help create ones that are more sustainable. The book has been divided into three parts: re-orienting science and society, re-connecting people and planet and re-imagining education and learning. This is essential reading for educators, educational designers, change agents, researchers, students, policymakers and entrepreneurs alike, who are concerned about the well-being of the planet and convinced of our ability to do better. The content and related issues can be discussed on the blog by editor Arjen Wals: Transformative learning. 'We are living in times of incertitude, complexity, and contestation, but also of connectivity, responsibility, and new opportunities. This book analyses the consequences of these times for learning in formal, non-formal, and informal education. It explores the possibilities offered by the concept of sustainability as a central category of a holistic paradigm which harmonizes human beings with Earth. To change people and to change the world are interdependent processes - this book contributes to both.' Moacir Gadotti, Director of Paulo Freire Institute, São Paulo, Brazil 'I hope you share my excitement about the innovations for sustainability that this book catalogues and analyses. While the ecological news is grim, the human news is not. Even in a time of accelerating change, people are showing their enormous capacities to learn, adapt, restore and protect.' From the Foreword by Juliet Schor, author of ‘True Wealth: how and why millions of Americans are creating a time-rich, ecologically-light, small-scale high-satisfaction economy’ 'This book implies a ‘culture of critical commitment’ in educational thinking and practice - engaged enough to make a real difference to social-ecological resilience and sustainability but reflexively critical enough to learn constantly from experience and to keep options open in working for a sustainability transformation.' From the Afterword by Stephen Sterling, Professor of Sustainability Education, Centre for Sustainable Futures, Plymouth University, United Kingdom
Advanced Applications Of Nlp And Deep Learning In Social Media Data
DOWNLOAD
Author : Abd El-Latif, Ahmed A.
language : en
Publisher: IGI Global
Release Date : 2023-06-05
Advanced Applications Of Nlp And Deep Learning In Social Media Data written by Abd El-Latif, Ahmed A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.
Evaluating Media Richness In Organizational Learning
DOWNLOAD
Author : Gyamfi, Albert
language : en
Publisher: IGI Global
Release Date : 2017-08-14
Evaluating Media Richness In Organizational Learning written by Gyamfi, Albert and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Business & Economics categories.
The application of emerging multimedia innovations can significantly benefit organizations across different sectors. These tools aid in increasing competitive advantage and optimizing knowledge management. Evaluating Media Richness in Organizational Learning is an essential reference source for the latest scholarly research on the application of computational tools for knowledge management frameworks and strategies in organizations. Featuring a broad range of coverage on topics and perspectives such as web semantics, product innovation, and knowledge sharing, this book is ideally designed for researchers, consultants, practitioners, professionals, and upper-level students seeking current information on ways to facilitate business innovation and achieve competitive advantage.