This volume contains sixteen revised and extended research articles presented at a large international conference on Advances in Machine Learning and Data Analysis held at Berkeley in 2008. They explore the state-of-the art over a wide array of topics.

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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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