Learning For Uncertainty
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Learning For Uncertainty
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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.
Learning With Uncertainty
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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
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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.
Navigating Simulations In Marketing For Strategic Success
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Author : Masouras, Andreas
language : en
Publisher: IGI Global
Release Date : 2025-12-03
Navigating Simulations In Marketing For Strategic Success written by Masouras, Andreas and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-03 with Business & Economics categories.
In a competitive marketplace, marketers must make quick, informed decisions that impact business outcomes. Simulations have become essential tools for developing these strategic skills, offering realistic, controlled environments to test theories, analyze consumer behavior, and evaluate campaign outcomes. By engaging in simulated scenarios, individuals can gain practical experience, improve their decision-making abilities, and better understand market dynamics. This approach equips marketers with the insight needed to create effective strategies and adapt to changing markets. Navigating Simulations in Marketing for Strategic Success explores how simulations allow businesses to experiment with different scenarios, test hypotheses, and better predict market behavior. It delves into both the theoretical and practical aspects of marketing simulations, providing systematic instructions and actionable frameworks to navigate the complexities of real-world marketing environments. This book covers topics such as machine learning, purchase decisions, and automation, and is a useful resource for marketers, computer engineers, business owners, academicians, researchers, and scientists.
Scalable Uncertainty Management
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Author : Eyke Hüllermeier
language : en
Publisher: Springer
Release Date : 2012-09-11
Scalable Uncertainty Management written by Eyke Hüllermeier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-11 with Computers categories.
This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
Controlling Uncertainty
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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
Artificial Intelligence For Robotics
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Author : Ms.S.Selvakumari
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-11-08
Artificial Intelligence For Robotics written by Ms.S.Selvakumari and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-08 with Computers categories.
Ms.S.Selvakumari, Assistant Professor,Department of Computer Science,Thanthai Hans Roever College (Autonomous), Perambalur, Tamil Nadu, India. Mr.A.Thomas Felix, Assistant Professor, Department of Computer Science, Dr. Kalaignar Government Arts College (Sattamandra Ponvizha), Kulithalai, Karur, Tamil Nadu, India. Ms.C.Revathi, Assistant Professor, PG & Research Department of Computer Science, Dhanalakshmi Srinivasan College of Arts & Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Ms.M.Kalaivani, Assistant Professor, PG & Research Department of Computer Science, Theivanai Ammal College for Women (Autonomous), Villupuram, Tamil Nadu, India.
Symbolic And Quantitative Approaches To Reasoning And Uncertainty
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Author :
language : en
Publisher:
Release Date : 2005
Symbolic And Quantitative Approaches To Reasoning And Uncertainty written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Logic, Symbolic and mathematical categories.
Advances In Intelligent Data Analysis Xviii
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Author : Michael R. Berthold
language : en
Publisher: Springer Nature
Release Date : 2020-04-22
Advances In Intelligent Data Analysis Xviii written by Michael R. Berthold and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-22 with Computers categories.
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
Discovery Science
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Author : Petra Kralj Novak
language : en
Publisher: Springer Nature
Release Date : 2019-10-18
Discovery Science written by Petra Kralj Novak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-18 with Computers categories.
This book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia, in October 2019. The 21 full and 19 short papers presented together with 3 abstracts of invited talks in this volume were carefully reviewed and selected from 63 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Advanced Machine Learning; Applications; Data and Knowledge Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series.