Learning With Uncertainty
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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.
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.
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.
Reckoning With Risk
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Author : Gerd Gigerenzer
language : en
Publisher: Penguin UK
Release Date : 2003-04-24
Reckoning With Risk written by Gerd Gigerenzer and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-24 with Mathematics categories.
"This is an important book, full of relevant examples and worrying case histories. By the end of it, the reader has been presented with a powerful set of tools for understanding statistics...anyone who wants to take responsibly for their own medicalchoices should read it" - New Scientist However much we crave certainty, we live in an uncertain world. But are we guilty of wildly exaggerating the chances of some unwanted event happening to us? Are ordinary people idiots when reasoning with risk? Far too many of us, argues Gerd Gigerenzer, are hampered by our own innumeracy. Here, he shows us that our difficulties in thinking about numbers can easily be overcome.
Computer Information Systems And Industrial Management
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Author : Khalid Saeed
language : en
Publisher: Springer
Release Date : 2013-09-20
Computer Information Systems And Industrial Management written by Khalid Saeed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-20 with Computers categories.
This book constitutes the proceedings of the 12th IFIP TC 8 International Conference, CISIM 2013, held in Cracow, Poland, in September 2013. The 44 papers presented in this volume were carefully reviewed and selected from over 60 submissions. They are organized in topical sections on biometric and biomedical applications; pattern recognition and image processing; various aspects of computer security, networking, algorithms, and industrial applications. The book also contains full papers of a keynote speech and the invited talk.
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
Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging And Graphs In Biomedical Image Analysis
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Author : Carole H. Sudre
language : en
Publisher: Springer Nature
Release Date : 2020-10-05
Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging And Graphs In Biomedical Image Analysis written by Carole H. Sudre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-05 with Computers categories.
This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
Building Learning Capacity In An Age Of Uncertainty
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Author : James A. Bailey
language : en
Publisher: Routledge
Release Date : 2021-05-19
Building Learning Capacity In An Age Of Uncertainty written by James A. Bailey and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-19 with Education categories.
In an increasingly complex context of global pandemic, economic uncertainty, increased racial inequities, and a climate crisis, this practical guide for school leaders explores how capacity as learning at the individual, team, and organizational level can help schools become more agile and adaptive. Author James A. Bailey unpacks a new model of capacity building that combines learning process, leadership mindsets, and skills to enhance learning. This research-based book includes a "Diagnostic for School Learning Capacity" and "Team Considerations" to help school leaders and their teams launch further discussions and advance learning in their contexts. The tools in this timely book are designed to help school leaders handle the increasing volatile, uncertain, complex, and ambiguous world in which schools now exist.
Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging And Clinical Image Based Procedures
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Author : Hayit Greenspan
language : en
Publisher: Springer Nature
Release Date : 2019-10-10
Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging And Clinical Image Based Procedures written by Hayit Greenspan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with Computers categories.
This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Probability For Machine Learning
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2019-09-24
Probability For Machine Learning written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-24 with Computers categories.
Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.