Torrent details for "Tran K. Machine Learning and Probabilistic Graphical Models 2022 [andryold1]"    Log in to bookmark

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This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
Introduction to Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Decision Support Systems for Healthcare based on Probabilistic Graphical Models: a survey and perspective
Decision Support Systems for Anomaly Detection with the Applications in Smart Manufacturing: a survey and perspective
Decision Support System for Complex Systems Risk Assessment with Bayesian Networks
Decision Support System using LSTM with bayesian optimization for Predictive Maintenance: Remaining Useful Life Prediction
Decision Support Systems for Textile Manufacturing Process with Machine Learning
Anomaly Detection enables Cybersecurity with Machine Learning techniques
Machine learning for compositional data analysis in Support of the Decision Making Process
Decision Support System with Genetic Algorithm for Economic Statistical Design of Nonparametric control chart
Jamming Detection in Electromagnetic communication with Machine Learning: a survey and perspective
Intellectual Support with Machine Learning forDecision-making in Garment Manufacturing Industry: A Review
Enabling Smart Supply Chain Management with Artificial Intelligence

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