Advances in Machine Learning and Data Analysis

Author:   Sio-Iong Ao ,  Burghard B Rieger ,  Mahyar Amouzegar
Publisher:   Springer
Edition:   2010 ed.
Volume:   48
ISBN:  

9789400730823


Pages:   240
Publication Date:   14 March 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Machine Learning and Data Analysis


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Full Product Details

Author:   Sio-Iong Ao ,  Burghard B Rieger ,  Mahyar Amouzegar
Publisher:   Springer
Imprint:   Springer
Edition:   2010 ed.
Volume:   48
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789400730823


ISBN 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   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

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)


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)


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