Machine Learning Methods for Ecological Applications, Alan H. Fielding
Автор: Hancock Название: Local Applications of the Ecological Approach To Human-Machine Systems ISBN: 0805813802 ISBN-13(EAN): 9780805813807 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems
Автор: Duane E. Haines Название: Fundamental Neuroscience for Basic and Clinical Applications, ISBN: 1437702945 ISBN-13(EAN): 9781437702941 Издательство: Elsevier Science Рейтинг: Цена: 70730.00 T Наличие на складе: Невозможна поставка. Описание: Includes coverage of neuroanatomy, physiology, and pharmacology, with a particular emphasis on systems neurobiology, effectively prepares you for your courses, exams, and beyond.
Автор: Thanasis Daradoumis; Santi Caball?; Joan Manuel Ma Название: Intelligent Collaborative e-Learning Systems and Applications ISBN: 3642040004 ISBN-13(EAN): 9783642040009 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focusing on what has become a major research theme in the CSCL and CSCW research community, the authors provide new insights, fresh results and imaginative approaches both on the analysis and the development of more powerful e-collaboration settings.
Автор: Carneiro Название: Deep Learning and Data Labeling for Medical Applications ISBN: 3319469754 ISBN-13(EAN): 9783319469751 Издательство: Springer Рейтинг: Цена: 46590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.
The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.
Автор: Mirjana Ivanovi?; Lakhmi C. Jain Название: E-Learning Paradigms and Applications ISBN: 364241964X ISBN-13(EAN): 9783642419645 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the state-of-the-art of e-learning and tutoring systems, and discusses their capabilities and benefits that stem from integrating software agents. It includes various case studies to validate the usefulness of the presented paradigms.
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