L'évaluation des réseaux de neurones en tant que systèmes interactifs d'aide à la décision PDF Download

Author: Timour Ismaguilov
Publisher:
ISBN:
Category :
Languages : fr
Pages : 88

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Author: Neural Information Processing Systems Foundation
Publisher: MIT Press
ISBN: 0262026171
Category : Algorithms
Languages : en
Pages : 361

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State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Author: Yasser Khazaal
Publisher: Frontiers Media SA
ISBN: 2889454967
Category : Video games in education
Languages : en
Pages : 311

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Book Description
Recent years have seen important developments in the computer and game industry, including the emergence of the concept of serious games. It is hypothesized that tools such as games, virtual reality, or applications for smartphones may foster learning, enhance motivation, promote behavioral change, support psychotherapy, favor empowerment, and improve some cognitive functions. Computers and games may create supports for training or help people with cognitive, emotional, or behavioral change. Games take various formats, from board games to informatics to games with interactive rules of play. Similarly, computer tools may vary widely in format, from self-help or assisted computerized training to virtual reality or applications for smartphones. Some tools that may be helpful for mental health were specifically designed for that goal, whereas others were not. Gamification of computer-related products and games with a numeric format tend to reduce the gap between games and computers tools and increase the conceptual synergy in such fields. Games and computer design share an opportunity for creativity and innovation to help create, specifically design, and assess preventive or therapeutic tools. Computers and games share a design conception that allows innovative approaches to overcome barriers of the real world by creating their own rules. Yet, despite the potential interest in such tools to improve treatment of mental disorders and to help prevent them, the field remains understudied and information is under-disseminated in clinical practice. Some studies have shown, however, that there is potential interest and acceptability of tools that support various vehicles, rationales, objectives, and formats. These tools include traditional games (e.g., chess games), popular electronic games, board games, computer-based interventions specifically designed for psychotherapy or cognitive training, virtual reality, apps for smartphones, and so forth. Computers and games may offer a true opportunity to develop, assess, and disseminate new prevention and treatment tools for mental health and well-being. Currently, there is a strong need for state-of-the-art information to answer questions such as the following: Why develop such tools for mental health and well-being? What are the potential additions to traditional treatments? What are the best strategies or formats to improve the possible impact of these tools? Are such tools useful as a first treatment step? What is the potential of a hybrid model of care that combines traditional approaches with games and/or computers as tools? What games and applications have already been designed and studied? What is the evidence from previous studies? How can such tools be successfully designed for mental health and well-being? What is rewarding or attractive for patients in using such treatments? What are the worldwide developments in the field? Are some protocols under development? What are the barriers and challenges related to such developments? How can these tools be assessed, and how can the way that they work, and for whom, be measured? Are the potential benefits of such products specific, or can these additions be attributed to nonspecific factors? What are the users’ views on such tools? What are the possible links between such tools and social networks? Is there a gap between evidence-based results and market development? Are there any quality challenges? What future developments and studies are needed in the field?

Author: Michael J. Kearns
Publisher: MIT Press
ISBN: 9780262111935
Category : Computers
Languages : en
Pages : 230

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Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

Author: Vladimir Vapnik
Publisher: Springer Science & Business Media
ISBN: 1475732643
Category : Mathematics
Languages : en
Pages : 324

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The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Author: Eric Topol
Publisher: Basic Books
ISBN: 0465094473
Category : Medical
Languages : en
Pages : 386

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The essential guide by one of America's leading doctors to how digital technology enables all of us to take charge of our health A trip to the doctor is almost a guarantee of misery. You'll make an appointment months in advance. You'll probably wait for several hours until you hear "the doctor will see you now"-but only for fifteen minutes! Then you'll wait even longer for lab tests, the results of which you'll likely never see, unless they indicate further (and more invasive) tests, most of which will probably prove unnecessary (much like physicals themselves). And your bill will be astronomical. In The Patient Will See You Now, Eric Topol, one of the nation's top physicians, shows why medicine does not have to be that way. Instead, you could use your smartphone to get rapid test results from one drop of blood, monitor your vital signs both day and night, and use an artificially intelligent algorithm to receive a diagnosis without having to see a doctor, all at a small fraction of the cost imposed by our modern healthcare system. The change is powered by what Topol calls medicine's "Gutenberg moment." Much as the printing press took learning out of the hands of a priestly class, the mobile internet is doing the same for medicine, giving us unprecedented control over our healthcare. With smartphones in hand, we are no longer beholden to an impersonal and paternalistic system in which "doctor knows best." Medicine has been digitized, Topol argues; now it will be democratized. Computers will replace physicians for many diagnostic tasks, citizen science will give rise to citizen medicine, and enormous data sets will give us new means to attack conditions that have long been incurable. Massive, open, online medicine, where diagnostics are done by Facebook-like comparisons of medical profiles, will enable real-time, real-world research on massive populations. There's no doubt the path forward will be complicated: the medical establishment will resist these changes, and digitized medicine inevitably raises serious issues surrounding privacy. Nevertheless, the result-better, cheaper, and more human health care-will be worth it. Provocative and engrossing, The Patient Will See You Now is essential reading for anyone who thinks they deserve better health care. That is, for all of us.

Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549

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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Author: Laurence J. Kirmayer
Publisher: Springer Science & Business Media
ISBN: 1461476151
Category : Psychology
Languages : en
Pages : 365

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Based on a recently completed project of cultural consultation in Montreal, Cultural Consultation presents a model of multicultural and applicable health care. This model used clinicians and consultants to provide in-depth assessment, treatment planning, and limited interventions in consultation with frontline primary care and mental health practitioners working with immigrants, refugees, and members of indigenous and ethnocultural communities. Evaluation of the service has demonstrated that focused interventions by consultants familiar with patients’ cultural backgrounds could improve the relationship between the patient and the primary clinician. This volume presents models for intercultural work in psychiatry and psychology in primary care, general hospital and specialty mental health settings. The editors highlight crucial topics such as: - Discussing the social context of intercultural mental health care, conceptual models of the role of culture in psychopathology and healing, and the development of a cultural consultation service and a specialized cultural psychiatric service - Examining the process of intercultural work more closely with particular emphasis oto strategies of consultation, the identity of the clinician, the ways in which gender and culture position the clinician, and interaction of the consultant with family systems and larger institutions - Highlighting special situations that may place specific demands on the clinician: working with refugees and survivors of torture or political violence, with separated families, and with patients with psychotic episodes This book is of valuable use to mental health practitioners who are working in multidisciplinary settings who seek to understand cultural difference in complex cases. Psychiatrists, psychologists, social workers, nurse practitioners, primary care providers and trainees in these disciplines will make thorough use of the material covered in this text.

Author: Mark Mason
Publisher: John Wiley & Sons
ISBN: 1444307363
Category : Education
Languages : en
Pages : 256

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A collection of scholarly essays, Complexity Theory and thePhilosophy of Education provides an accessible theoreticalintroduction to the topic of complexity theory while consideringits broader implications for educational change. Explains the contributions of complexity theory to philosophyof education, curriculum, and educational research Brings together new research by an international team ofcontributors Debates issues ranging from the culture of curriculum, to theimplications of work of key philosophers such as Foucault and JohnDewey for educational change Demonstrates how social scientists and social and educationpolicy makers are drawing on complexity theory to answer questionssuch as: why is it that education decision-makers are so resistantto change; how does change in education happen; and what does ittake to make these changes sustainable? Considers changes in use of complexity theory; developedprincipally in the fields of physics, biology, chemistry, andeconomics, and now being applied more broadly to the socialsciences and to the study of education

Author: Makoto Hashizume
Publisher: Springer Nature
ISBN: 9811643253
Category : Medical
Languages : en
Pages : 370

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This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written by respected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.