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OverviewFull Product DetailsAuthor: Sio-Iong Ao , Burghard B Rieger , Mahyar AmouzegarPublisher: Springer Imprint: Springer Edition: 2010 ed. Volume: 48 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.454kg ISBN: 9789400730823ISBN 10: 9400730829 Pages: 240 Publication Date: 14 March 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsFrom the reviews: This is a collection of papers from a large international conference on advances in machine learning and data analysis . Readers who work with digital systems would benefit most from this book. Each chapter has a bibliography that helps readers find further references, when needed. the topics covered in this book should be of great interest to researchers and practitioners who want to apply machine learning technology and data analysis tools to problems in general electrical engineering areas . (Xiannong Meng, ACM Computing Reviews, March, 2010) From the reviews: This is a collection of papers from a large international conference on advances in machine learning and data analysis ... . Readers who work with digital systems ... would benefit most from this book. ... Each chapter has ... a bibliography that helps readers find further references, when needed. ... the topics covered in this book should be of great interest to researchers and practitioners who want to apply machine learning technology and data analysis tools to problems in general electrical engineering areas ... . (Xiannong Meng, ACM Computing Reviews, March, 2010) From the reviews: “This is a collection of papers from a large international conference on advances in machine learning and data analysis … . Readers who work with digital systems … would benefit most from this book. … Each chapter has … a bibliography that helps readers find further references, when needed. … the topics covered in this book should be of great interest to researchers and practitioners who want to apply machine learning technology and data analysis tools to problems in general electrical engineering areas … .” (Xiannong Meng, ACM Computing Reviews, March, 2010) Author InformationTab Content 6Author Website:Countries AvailableAll regions |