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Machine Learning and Medical Imaging - Bog - Hardback

Machine Learning and Medical Imaging - Bog - Hardback

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to..

DKK 1358.95
1

Human-Machine Shared Contexts - Bog - Paperback

Human-Machine Shared Contexts - Bog - Paperback

Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of \shared contexts” between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed..

DKK 1317.95
1

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning - Bog - Hardback

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning - Bog - Hardback

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into artificial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of..

DKK 1733.95
1

Thinking Machines - Machine Learning and Its Hardware Implementation - Bog af Shigeyuki (Keio University Takano - Paperback

Thinking Machines - Machine Learning and Its Hardware Implementation - Bog af Shigeyuki (Keio University Takano - Paperback

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn..

DKK 1139.95
1

Machine Learning and the Internet of Medical Things in Healthcare - Bog - Paperback

Machine Learning and the Internet of Medical Things in Healthcare - Bog - Paperback

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes..

DKK 1776.95
1

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging - Bog - Paperback

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging - Bog - Paperback

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning,..

DKK 1902.95
1

Machine Learning in Cardiovascular Medicine - Bog - Paperback

Machine Learning in Cardiovascular Medicine - Bog - Paperback

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works..

DKK 1315.95
1

Machine Learning and Artificial Intelligence in Radiation Oncology - A Guide for Clinicians - Bog - Paperback

Machine Learning and Artificial Intelligence in Radiation Oncology - A Guide for Clinicians - Bog - Paperback

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing..

DKK 1579.95
1

Machine Learning - A Bayesian and Optimization Perspective - Bog af Sergios (Professor of Machine Learning and Signal Processing Theodoridis - Hardbac

Machine Learning - A Bayesian and Optimization Perspective - Bog af Sergios (Professor of Machine Learning and Signal Processing Theodoridis - Hardbac

Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in..

DKK 926.95
1

Machine Learning, Big Data, and IoT for Medical Informatics - Bog - Paperback

Machine Learning, Big Data, and IoT for Medical Informatics - Bog - Paperback

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine..

DKK 1143.95
1

Practical Machine Learning for Data Analysis Using Python - Bog af Abdulhamit (Institute of Biomedicine Subasi - Paperback

Practical Machine Learning for Data Analysis Using Python - Bog af Abdulhamit (Institute of Biomedicine Subasi - Paperback

Practical Machine Learning for Data Analysis Using Python is a problem solver''s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine..

DKK 1400.95
1

Source Separation and Machine Learning - Bog af Jen-Tzung (Chair Professor Chien - Paperback

Source Separation and Machine Learning - Bog af Jen-Tzung (Chair Professor Chien - Paperback

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA),..

DKK 1157.95
1

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction - Bog af Harsh S. (Department of Electrical Engineering Dhiman - Paperback

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction - Bog af Harsh S. (Department of Electrical Engineering Dhiman - Paperback

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake..

DKK 1097.95
1