This massive volume covers the proceedings of the ICMLA 2008 Conference for engineers and practitioners in the field of machine learning, and provides the latest research on such topics as Bayesian learning, support vector machines, statistical data mining and current applications in the fields of medicine, biology, radiotherapy and bioinformatics. Editors Wani (computer science, California State U., Bakersfield), Chen (electrical engineering and computer science, U. of Kansas), Casasent (electrical and computer engineering, Carnegie Mellon U.), Kurgan (electrical and computer engineering, U. of Alberta, Canada), Hu (data mining and database systems, Drexel U.) and Hafeez (computer science, U. of Nottingham, UK) have also included content from special sessions and workshops on machine learning, and show how this field is becoming vital to engineering, marketing and biology. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
