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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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Applied Intelligent Decision Making in Machine Learning

, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications;

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Intelligent Information and Database Systems

in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information;

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Intelligent Information and Database Systems

in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information;

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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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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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Machine Learning for Predictive Analysis

at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers;

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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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Building Intelligent Systems

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and;

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Context-Aware Machine Learning and Mobile Data Analytics

the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a;

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Intelligent Information and Database Systems

Learning; Sensor Networks and Internet of Things; Intelligent Information Systems; Data Structures Modeling for Knowledge Representation; Modeling;

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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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Intelligent Information and Database Systems

Conference on Intelligent Information and Database Systems, held in Bali, Indonesia, in March 2015. The total of 117 full papers accepted for;

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Intelligent Information and Database Systems

Conference on Intelligent Information and Database Systems, held in Bali, Indonesia, in March 2015. The total of 117 full papers accepted for;

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Smart Data

decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields;

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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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Machine Learning with PySpark

supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You'll also see unsupervised;

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Creativity in Intelligent Technologies and Data Science

modeling with application in intelligent decision making; design creativity in CAD/CAM/CAE/PDM; intelligent decision support for continual;

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Machine Learning and Intelligent Communications

schemes; applications of neural network and deep learning; decentralized learning for wireless communication systems; intelligent antennas design;

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Smart Data

decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields;

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on;

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Modelling and Development of Intelligent Systems

for decision support; machine learning.;

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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 Distributed Computing XIII

Network Analysis and Inappropriate Content Counteraction, Cyber-Physical Security and Safety, Intelligent Distributed Decision Support Systems;

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