Description: Machine Learning and Probabilistic Graphical Models for Decision Support Systems by Kim Phuc Tran Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book presents recent advancements in research, new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models. The book undertakes to stimulate scientific exchange, ideas, and experiences in the field of DSS applications. Publisher Description 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. Author Biography Kim Phuc Tran is an Associate Professor of Artificial Intelligence and Data Science at ENSAIT & GEMTEX,University of Lille, France, and a Senior Scientific Advisor at Dong A University, Vietnam. He obtained a Ph.D. inAutomation and Applied Informatics at the University of Nantes, and an HDR (Dr. Habil.) in Computer Science andAutomation at the University of Lille, France. His research focuses on Artificial Intelligence and applications. He haspublished more than 60 papers in SCIE peer-reviewed international journals and proceedings of international conferences. He edited 3 books with Springer Nature and CRC Press, Taylor & Francis Group. Details ISBN 1032039485 ISBN-13 9781032039480 Title Machine Learning and Probabilistic Graphical Models for Decision Support Systems Author Kim Phuc Tran Format Hardcover Year 2022 Pages 318 Publisher Taylor & Francis Ltd GE_Item_ID:137068275; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 227.6 USD
Location: Fairfield, Ohio
End Time: 2024-11-09T04:41:37.000Z
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Restocking Fee: No
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ISBN-13: 9781032039480
Type: NA
Publication Name: NA
Publisher: CRC Press LLC
Publication Year: 2022
Book Title: Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Topic: General
Number of Pages: 318 Pages
Language: English
Illustrator: Yes
Genre: Technology & Engineering
Author: Kim Phuc Tran
Format: Hardcover