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Applied Intelligent Decision Making in Machine Learning

handle the challenges related to decision making in various aspects. It incorporates the advances of machine intelligent techniques in decision;

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Applied Intelligent Decision Making in Machine Learning

of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Advanced Research in Applied Artificial Intelligence

cognitive computing and intelligent interaction; spatio-temporal datamining, structured learning and their applications; decision making and;

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Lecture Notes in Computational Intelligence and Decision Making

, machine learning and decision-making. The international scientific conference Intellectual Systems of Decision-Making and Problems;

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Lecture Notes in Computational Intelligence and Decision Making

presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: Analysis and Modeling;

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Congress on Intelligent Systems

mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent;

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Congress on Intelligent Systems

mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent;

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Intelligent Information and Database Systems

Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making;

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Intelligent Information and Database Systems

Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making;

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Machine Learning Paradigm for Internet of Things Applications

decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine;

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Intelligent Computing and Applications

neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning;

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Machine Learning and Systems Engineering

include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology;

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Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;

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Progress in Intelligent Decision Science

of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or;

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Sixth International Conference on Intelligent Computing and Applications

, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and;

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Intelligent Information and Database Systems

; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and;

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New Advances in Intelligent Decision Technologies

aspects of intelligent decision technologies, from fundamental development to the applied system. It constitutes a great honor and;

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Machine Learning in Computer-Aided Diagnosis

learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research;

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Current Approaches in Applied Artificial Intelligence

Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were;

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Big Data Analytics for Cyber-Physical Systems

, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the;

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Intelligent Information and Database Systems

; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and;

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Intelligent Decision Support Systems

Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software;

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Rational Machines and Artificial Intelligence

Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality;

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Five-Layer Intelligence of the Machine Brain

, active learning, cognitive computing, intelligent decision making and automatized execution. The book is likely to be of interest to university;

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Intelligent Information and Database Systems

information systems; decision support and control systems; machine learning and data mining; multiple model approach to machine learning; innovations;

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