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Computational Intelligence for Machine Learning and Healthcare Informatics

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning;

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Emerging Paradigms in Machine Learning

This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms;

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Machine Learning in Cognitive IoT

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT;

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Understanding Machine Learning

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to;

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Machine Learning with Health Care Perspective

machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;

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Machine Learning with Health Care Perspective

machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Applied Genetic Programming and Machine Learning

that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic;

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Applied Genetic Programming and Machine Learning

that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Machine Learning in Medicine

Provides a comprehensive overview of machine learning and deep learning techniques for biomedical imaging Includes thoracic imaging;

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Advances in Machine Learning Applications in Software Engineering

Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;

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Coefficient of Variation and Machine Learning Applications

through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data;

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Coefficient of Variation and Machine Learning Applications

through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data;

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Advanced Machine Vision Paradigms for Medical Image Analysis

helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern;

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data

carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.;

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Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;

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Advanced Computational Intelligence in Healthcare-7: Biomedical Informatics

Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis;

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Blockchain, Big Data and Machine Learning

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;

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Machine Learning Applications

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have;

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Enabling Machine Learning Applications in Data Science

research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Machine Learning Advances in Computing Renewable Energy and Communication

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and;

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Density Ratio Estimation in Machine Learning

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications;

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Density Ratio Estimation in Machine Learning

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications;

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Ensemble Machine Learning Cookbook

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular;

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