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OverviewAddresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. Comprehensive overview of novel approaches to machine learning research that consider resource constraints and application of the described methods. Full Product DetailsAuthor: Katharina Morik , Joerg Rahnenfuhrer , Christian Wietfeld , Jens BussPublisher: De Gruyter Imprint: De Gruyter Weight: 2.259kg ISBN: 9783111135816ISBN 10: 3111135810 Pages: 1346 Publication Date: 31 December 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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![[Set Machine Learning under Resource Constraints, 3 volumes]: Fundamentals, Discovery in Physics, Applications](http://erudite-product-images.s3.ap-southeast-2.amazonaws.com/original/no-image-available.jpg "[Set Machine Learning under Resource Constraints, 3 volumes]: Fundamentals, Discovery in Physics, Applications")
