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Author: Teresa G. Russo
Publisher: University of Alberta
ISBN: 0888645589
Category : Literary Collections
Languages : en
Pages : 321
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Book Description
A comprehensive and comparative examination of the concept of recognition across history and disciplines.
Author: Teresa G. Russo
Publisher: University of Alberta
ISBN: 0888645589
Category : Literary Collections
Languages : en
Pages : 321
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Book Description
A comprehensive and comparative examination of the concept of recognition across history and disciplines.
Author: Cong Wang
Publisher: CRC Press
ISBN: 1420007769
Category : Technology & Engineering
Languages : en
Pages : 207
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Book Description
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic Environments The authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information Processing This book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
Author: André Nollkaemper
Publisher:
ISBN: 0198739745
Category : Law
Languages : en
Pages : 769
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Book Description
The Oxford ILDC online database, an online collection of domestic court decisions which apply international law, has been providing scholars with insights for many years. This ILDC Casebook is the perfect companion, introducing key court decisions with brief introductory and connecting texts. An ideal text for practitioners, judged, government officials, as well as for students on international law courses, the ILDC Casebook explains the theories and doctrines underlying the use by domestic courts of international law, and illustrates the key importance of domestic courts in the development of international law.
Author: Paul F. Warriner
Publisher: Lid Publishing
ISBN: 9781911498889
Category : Career development
Languages : en
Pages : 0
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Book Description
A powerful tool for anyone in employment, no matter what their field, The Recognition Book examines the traits, behaviors, and skills fundamental to doing an excellent job and demonstrates how to shine in today's competitive corporate world. Packed with case studies, practical tools, techniques, hints, and tips, the book is a useful reference guide for all. This unique and engaging book is essential reading for anyone wanting to stand out from the crowd and become the model employee. Whether you work for a multi-national or small business, whether you have just started your career or you're a seasoned executive, this guide will help you develop and hone all the attributes that make you invaluable to your employer.
Author: Zhi-Hua Zhou
Publisher: CRC Press
ISBN: 1439830037
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Author: Madhu Singh
Publisher: Springer
ISBN: 3319152785
Category : Education
Languages : en
Pages : 237
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Book Description
This book deals with the relevance of recognition and validation of non-formal and informal learning education and training, the workplace and society. In an increasing number of countries, it is at the top of the policy and research agenda ranking among the possible ways to redress the glaring lack of relevant academic and vocational qualifications and to promote the development of competences and certification procedures which recognise different types of learning, including formal, non-formal and informal learning. The aim of the book is therefore to present and share experience, expertise and lessons in such a way that enables its effective and immediate use across the full spectrum of country contexts, whether in the developing or developed world. It examines the importance of meeting institutional and political requirements that give genuine value to the recognition of non-formal and informal learning; it shows why recognition is important and clarifies its usefulness and the role it serves in education, working life and voluntary work; it emphasises the importance of the coordination, interests, motivations, trust and acceptance by all stakeholders. The volume is also premised on an understanding of a learning society, in which all social and cultural groups, irrespective of gender, race, social class, ethnicity, mental health difficulties are entitled to quality learning throughout their lives. Overall the thrust is to see the importance of recognising non-formal and informal learning as part of the larger movement for re-directing education and training for change. This change is one that builds on an equitable society and economy and on sustainable development principles and values such as respect for others, respect for difference and diversity, exploration and dialogue.
Author: Paul Giladi
Publisher: Taylor & Francis
ISBN: 0429787073
Category : Philosophy
Languages : en
Pages : 416
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Book Description
This volume includes original essays that examine the underexplored relationship between recognition theory and key developments in critical social epistemology. Its aims are to explore how far certain kinds of epistemic injustice, epistemic oppression, and types of ignorance can be understood as distorted varieties of recognition and to determine whether contemporary work on epistemic injustice and critical social epistemology more generally have significant continuities with theories of recognition in the Frankfurt School tradition. Part I of the book focuses on bringing recognition theory and critical social epistemology into direct conversation. Part II is devoted to analysing a range of case studies that are evocative of contemporary social struggles. The essays in this volume propose answers to a number of thought-provoking questions at the intersection of these two robust philosophical subfields, such as the following: how well can different types of epistemic injustice be understood as types of recognition abuses? How useful is it to approach different forms of social oppression as recognition injustices and/or as involving epistemic injustice? What limitations do we discover in either or both recognition theory and the ever-expanding literature on epistemic injustice when we put them into conversation with each other? How does the conjunction of these two accounts bear on specific domains, such as questions of silencing? Epistemic Injustice and the Philosophy of Recognition heralds new directions for future research that will appeal to scholars and students working in critical social epistemology, social and political theory, continental philosophy, and a wide range of critical social theories.
Author: Paul Ricoeur
Publisher: Harvard University Press
ISBN: 0674025644
Category : Philosophy
Languages : en
Pages : 316
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Book Description
Recognition, though it figures profoundly in our understanding of objects and persons, identity and ideas, has never before been the subject of a single, sustained philosophical inquiry. This work, by one of contemporary philosophy’s most distinguished voices, pursues recognition through its various philosophical guises and meanings—and, through the “course of recognition,” seeks to develop nothing less than a proper hermeneutics of mutual recognition. Originally delivered as lectures at the Institute for the Human Sciences at Vienna, the essays collected here consider recognition in three of its forms. The first chapter, focusing on knowledge of objects, points to the role of recognition in modern epistemology; the second, concerned with what might be called the recognition of responsibility, traces the understanding of agency and moral responsibility from the ancients up to the present day; and the third takes up the problem of recognition and identity, which extends from Hegel’s discussion of the struggle for recognition through contemporary arguments about identity and multiculturalism. Throughout, Paul Ricoeur probes the significance of our capacity to recognize people and objects, and of self-recognition and self-identity in relation to the gift of mutual recognition. Drawing inspiration from such literary texts as the Odyssey and Oedipus at Colonus, and engaging some of the classic writings of the Continental philosophical tradition—by Kant, Hobbes, Hegel, Augustine, Locke, and Bergson—The Course of Recognition ranges over vast expanses of time and subject matter and in the process suggests a number of highly insightful ways of thinking through the major questions of modern philosophy.
Author: Rollanda E. O'Connor
Publisher: Guilford Publications
ISBN: 1462516319
Category : Education
Languages : en
Pages : 217
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Book Description
This highly regarded teacher resource synthesizes the research base on word recognition and translates it into step-by-step instructional strategies, with special attention to students who are struggling. Chapters follow the stages through which students progress as they work toward skilled reading of words. Presented are practical, evidence-based techniques and activities that target letter- sound pairings, decoding and blending, sight words, multisyllabic words, and fluency. Ideal for use in primary-grade classrooms, the book also offers specific guidance for working with older children who are having difficulties. Reproducible assessment tools and word lists can be downloaded and printed in a convenient 8 1/2" x 11" size. New to This Edition *Incorporates the latest research on word recognition and its connections to vocabulary, reading fluency, and comprehension. *Chapter on morphological (meaning-based) instruction. *Chapter on English language learners. *Instructive "Try This" activities at the end of each chapter for teacher study groups and professional development.
Author: Brian D. Ripley
Publisher: Cambridge University Press
ISBN: 9780521717700
Category : Computers
Languages : en
Pages : 420
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Book Description
This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.
