Two-mode Threshold Learning
Author: Jack Sklansky
Publisher:
Published: 1964
Total Pages: 68
ISBN-13:
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Author: Jack Sklansky
Publisher:
Published: 1964
Total Pages: 68
ISBN-13:
DOWNLOAD EBOOKAuthor: Julie A. Timmermans
Publisher: BRILL
Published: 2019-12-30
Total Pages: 402
ISBN-13: 9004419977
DOWNLOAD EBOOKSince the first literature about the Threshold Concepts Framework was published in 2003, a considerable body of educational research into this topic has grown internationally across a wide range of disciplines and professional fields. Successful negotiation of a threshold concept can be seen as crossing boundaries into new conceptual space, or as a portal opening up new and previously inaccessible ways of thinking about something. In this unfamiliar conceptual terrain, fresh insights and perceptions come into view, and access is gained to new discourses. This frequently entails encounters with ‘troublesome knowledge’, knowledge which provokes a liminal phase of transition in which new understandings must be integrated and, importantly, prior conceptions relinquished. There is often double trouble, in that letting go of a prevailing familiar view frequently involves a discomfiting change in the subjectivity of the learner. We become what we know. It is a space in which the learner might become ‘stuck’. Threshold Concepts on the Edge, the fifth volume in a series on this subject, discusses the new directions of this research. Its six sections address issues that arise in relation to theoretical development, liminal space, ontological transformations, curriculum, interdisciplinarity and aspects of writing across learning thresholds.
Author: Alberto Maria Segre
Publisher: Morgan Kaufmann
Published: 2014-06-28
Total Pages: 521
ISBN-13: 1483297403
DOWNLOAD EBOOKMachine Learning Proceedings 1989
Author: Shai Avidan
Publisher: Springer Nature
Published: 2022-11-02
Total Pages: 801
ISBN-13: 3031200837
DOWNLOAD EBOOKThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author: Hsinchun Chen
Publisher: Springer Science & Business Media
Published: 2008-06-17
Total Pages: 590
ISBN-13: 0387716130
DOWNLOAD EBOOKThis book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.
Author: E. Usui
Publisher: Elsevier
Published: 2016-07-29
Total Pages: 854
ISBN-13: 1483296636
DOWNLOAD EBOOKAs we move towards the 21st century, industries are compelled to turn from "high productivity and high precision" to "more intelligent and more human-oriented technology". This volume presents the existing state of the art of production/precision engineering and illuminates areas in which future work may proceed.
Author: Shubham Mahajan
Publisher: John Wiley & Sons
Published: 2024-10-01
Total Pages: 421
ISBN-13: 1394272561
DOWNLOAD EBOOKThis book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise—enabling machines to learn optimal actions within complex environments through trial and error—has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques. “Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications” is an essential guide for anyone eager to understand the nexus between cutting-edge artificial intelligence techniques and practical industrial applications. This book not only demystifies the complex theory behind deep reinforcement learning (DRL) but also provides a clear roadmap for implementing these advanced algorithms in a variety of industries to solve real-world problems. Through a careful blend of theoretical foundations, practical insights, and diverse case studies, the book offers a comprehensive look into how DRL is revolutionizing fields such as finance, healthcare, manufacturing, and more, by optimizing decisions in dynamic and uncertain environments. This book distills years of research and practical experience into accessible and actionable knowledge. Whether you’re an AI professional seeking to expand your toolkit, a business leader aiming to leverage AI for competitive advantage, or a student or academic researching the latest in AI applications, this book provides valuable insights and guidance. Beyond just exploring the successes of DRL, it critically examines challenges, pitfalls, and ethical considerations, preparing readers to not only implement DRL solutions but to do so responsibly and effectively. Audience The book will be read by researchers, postgraduate students, and industry engineers in machine learning and artificial intelligence, as well as those in business and industry seeking to understand how DRL can be applied to solve complex industry-specific challenges and improve operational efficiency.
Author:
Publisher:
Published: 1964
Total Pages: 1330
ISBN-13:
DOWNLOAD EBOOKAuthor: Institute of Electrical and Electronics Engineers
Publisher:
Published: 1965
Total Pages: 748
ISBN-13:
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