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Brain Function Assessment in Learning, Claude Frasson; George Kostopoulos


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Цена: 51230.00T
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Склад Америка: 138 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Claude Frasson; George Kostopoulos
Название:  Brain Function Assessment in Learning
ISBN: 9783319676142
Издательство: Springer
Классификация:



ISBN-10: 3319676148
Обложка/Формат: Paperback
Страницы: 215
Вес: 0.33 кг.
Дата издания: 07.09.2017
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 60 illustrations, black and white; xii, 217 p. 60 illus.
Размер: 234 x 156 x 12
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Computer Science
Подзаголовок: First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed proceedings of the First International Conference on Brain Function Assessment in Learning, BFAL 2017, held in Patras, Greece, in September 2017. The 16 revised full papers presented together with 2 invited talks and 6 posters were carefully selected from 28 submissions.

Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Learning Radiology: Recognizing the Basics, 3rd Edition

Автор: William Herring
Название: Learning Radiology: Recognizing the Basics, 3rd Edition
ISBN: 0323328075 ISBN-13(EAN): 9780323328074
Издательство: Elsevier Science
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Цена: 42240.00 T
Наличие на складе: Поставка под заказ.
Описание: A must-have for anyone who will be required to read and interpret common radiologic images, Learning Radiology: Recognizing the Basics is an image-filled, practical, and easy-to-read introduction to key imaging modalities. Skilled radiology teacher William Herring, MD, masterfully covers exactly what you need to know to effectively interpret medical images of all modalities. Learn the latest on ultrasound, MRI, CT, patient safety, dose reduction, radiation protection, and more, in a time-friendly format with brief, bulleted text and abundant high-quality images. Then ensure your mastery of the material with additional online content, bonus images, and self-assessment exercises at Student Consult. Identify a wide range of common and uncommon conditions based upon their imaging findings. Arrive at diagnoses by following a pattern recognition approach, and logically overcome difficult diagnostic challenges with the aid of decision trees. Quickly grasp the fundamentals you need to know through more than 700 images and an easy-to-use format and pedagogy, including: bolding of key points and icons designating special content; Diagnostic Pitfalls; Really, Really Important Points; Weblinks; and Take-Home Points. Gauge your mastery of the material and build confidence with extra images, bonus content, interactive self-assessment exercises, and USMLE-style Q&A that provide effective chapter review and quick practice for your exams. Apply the latest recommendations on patient safety, dose reduction and radiation protection Benefit from the extensive knowledge and experience of esteemed author Dr. William Herring-a skilled radiology teacher and the host of his own specialty website, www.learningradiology.com. Stay current in the latest advancements and developments with meticulous updates throughout including a new chapter on Pediatric Radiology as well as more than 60 new and updated photos, many highlighting newer imaging modalities. Maximize your learning experience with interactive Student Consult extras videos/images of 3D images, functional imaging examinations, dynamic studies, and additional assessments. Student Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, references, and videos from the book on a variety of devices.

Methods in Molecular Biophysics: Structure, Dynamics, Function for Biology and Medicine, 2 ed.

Автор: Zaccai, Nathan R. (University of Cambridge) Serdyuk, Igor N. Zaccai, Joseph
Название: Methods in Molecular Biophysics: Structure, Dynamics, Function for Biology and Medicine, 2 ed.
ISBN: 1107056373 ISBN-13(EAN): 9781107056374
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: Reflecting the significant developments of the past decade, this textbook explains key physical methods in modern biology. Each method is illustrated through real-world examples, alongside background information designed for both physicists and biologists, making this an ideal resource for students in biophysics at science and medical schools.

Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: MIT Press
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Цена: 124150.00 T
Наличие на складе: Невозможна поставка.
Описание:

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.


Statistical Learning for Biomedical Data

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Цена: 43290.00 T
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Assessment of learning

Автор: Harlen, Wynne
Название: Assessment of learning
ISBN: 1412935199 ISBN-13(EAN): 9781412935197
Издательство: Sage Publications
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Цена: 50680.00 T
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Описание: Takes a critical look at how students` achievements are assessed for a range of purposes, from reporting progress to selection and qualification. This work considers the relationship between what is taught, and how, and what and how learning outcomes are assessed.

12 Brain/Mind Learning Principles in Action: Teach for the Development of Higher-Order Thinking and Executive Function

Автор: Caine Renate Nummela, Caine Geoffrey, McClintic Ca
Название: 12 Brain/Mind Learning Principles in Action: Teach for the Development of Higher-Order Thinking and Executive Function
ISBN: 1483382729 ISBN-13(EAN): 9781483382722
Издательство: Sage Publications
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Цена: 36950.00 T
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Описание: Updated with new scientific discoveries, this indispensable guide links brain research with innovative teaching techniques that strengthen students` critical thinking abilities and other key skills.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 90290.00 T
Наличие на складе: Нет в наличии.
Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.


Atlas of Brain Function

Автор: William W. Orrison
Название: Atlas of Brain Function
ISBN: 158890525X ISBN-13(EAN): 9781588905253
Издательство: Thieme Verlagsgruppe
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Цена: 99090.00 T
Наличие на складе: Нет в наличии.
Описание: Contains information on the structure and function of specific areas of the brain. This atlas covers functional MRI studies. It also contains a section on diffusion tensor imaging with three-dimensional reconstructions of fiber tracts using color coding to demonstrate neural pathways.

Assessment for learning

Автор: Black, Paul Harrison, Chris Lee, Clare Marshall, B
Название: Assessment for learning
ISBN: 0335212972 ISBN-13(EAN): 9780335212972
Издательство: McGraw-Hill
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Цена: 36590.00 T
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Описание: Assessment for Learning is based on a two-year project involving thirty-six teachers in schools in Medway and Oxfordshire.

Orthopedic Manual Therapy: Assessment and Management

Автор: Jochen Schomacher
Название: Orthopedic Manual Therapy: Assessment and Management
ISBN: 3131714514 ISBN-13(EAN): 9783131714510
Издательство: Thieme Verlagsgruppe
Цена: 82570.00 T
Наличие на складе: Нет в наличии.
Описание:

Proven and effective orthopedic therapy techniques for musculoskeletal disorders

Orthopedic Manual Therapy presents a systematic, step-by-step guide to manual therapy for disorders of the extremities and spine. Readers will find detailed examination and treatment techniques, the newest scientific and clinical advances, and updates on pain physiology, biomechanics, neurodynamics, and the biopsychosocial model of disease as the foundation for manual therapy.

Special Features

  • Describes every procedure in well structured, logical sequences of assessment, classification, and intervention, including core questions for patients
  • Covers examination and treatment of all joints, from the toes to the shoulder girdle, with new information on the sacro-iliac joint tests, as well as additional new techniques for the wrist and the hindfoot
  • Provides more than 500 full-color, step-by-step photographs that illustrate every technique for treating functional disorders of the locomotor system
  • Explains the important topic of arthrokinematics (movement of the adjacent joint surfaces) and its role in the mechanics of manual therapy
  • Offers a practical documentation template for recording each articulation and communicating findings to colleagues or physicians
  • Access to 20 instructive videos on the Thieme MediaCenter that demonstrate procedures in real-life clinical situations

Complete with case studies, checklists, and study questions, this practical, didactic book is ideal as both a textbook and a reference. Students and practitioners of physical and manual therapy will find it essential for gaining the knowledge and decision-making skills to treat any musculoskeletal disorder related to posture and movement.


Learning Disabilities and Brain Function

Автор: William H. Gaddes; G.W. Hynd; Dorothy Edgell
Название: Learning Disabilities and Brain Function
ISBN: 1441928324 ISBN-13(EAN): 9781441928320
Издательство: Springer
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Цена: 88470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present edition of this book is a revision and expansion of the first two editions which appeared in 1980 and 1985, and in German translation in 1991. More than half of the present volume includes new material, and what has been retained from the former editions has been largely rewritten and updated with new research findings. A completely new chapter has been added on "Attention Deficit Disorder. " The author of the earlier editions (W.H.G.) has been joined by a coauthor (D.E.), and their combined elementary, high school, and university teaching and clinical experience totals approximately seventy-five years. Both of us have directed our professional en- ergies to understanding the puzzle of human learning, especially academic learning, of those students who, despite apparently nor- mal intelligence and opportunity, have varying degrees of difficulty in acquiring ideas and skills that are easily mastered by others. Until about fifty years ago there was a common tendency to equate academic success with intelligence, and those students who could not meet the demands of the prescribed program were usually required to repeat the same grade with a repetition of the same discouraging treatment that had been unsuccessful the first time.


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