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Machine Learning Research Progress

methods extract rules and patterns out of massive data sets. The major focus of machine learning research is to extract information from data;

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Automated Machine Learning and Meta-Learning for Multimedia

This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their;

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Machine Learning

Every day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic. How many of them;

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Machine Learning for Health Informatics

learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress;

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Adversarial Robustness for Machine Learning

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on;

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Deep Learning and Physics

interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand;

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Deep Learning and Physics

interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand;

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Machine Learning

Every day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic. How many of them;

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Computational Learning Theory & Natural Learning Systems V 2 - Intersections Between Theory & Experiment

This second volume defines possible areas of joint research in artificial intelligence and machine learning. It uses knowledge from the;

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Recent Developments in Machine Learning and Data Analytics

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;

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Design and Development of Energy Efficient Systems

of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research;

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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn;

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Machine Learning in Marketing

play as a research method in the marketing field. The fundamental goal of machine learning is to generalize beyond the examples provided by;

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Machine Learning and Deep Learning in Real-Time Applications

of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research;

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Machine Learning Applications

identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research;

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Cybernetics Cognition and Machine Learning Applications

Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas;

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Lazy Learning

This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the;

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Lazy Learning

This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the;

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Introduction to Machine Learning with Python

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to;

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Machine Learning

Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;

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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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Cost-Sensitive Machine Learning

prediction/classification Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research;

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Cost-Sensitive Machine Learning

prediction/classification Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research;

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Quantum Machine Learning

Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning;

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Emerging Technologies in Data Mining and Information Security

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information;

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The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms;

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