Scaling up Machine Learning Hardback: Parallel and Distributed Approaches - Hardcover

Bekkerman; Bilenko; Langford

Hardcover

ISBN 10: 0521192242 ISBN 13: 9780521192248

Verlag: Cambridge University Press, 2012

Inhaltsangabe

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.

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Über die Autorinnen und Autoren

Ron Bekkerman is a computer engineer and scientist whose experience spans across disciplines from video processing to business intelligence. Currently a senior research scientist at LinkedIn, he previously worked for a number of major companies including Hewlett-Packard and Motorola. Bekkerman's research interests lie primarily in the area of large-scale unsupervised learning. He is the corresponding author of several publications in top-tier venues, such as ICML, KDD, SIGIR, WWW, IJCAI, CVPR, EMNLP and JMLR.

Mikhail Bilenko is a researcher in the Machine Learning and Intelligence group at Microsoft Research. His research interests center on machine learning and data mining tasks that arise in the context of large behavioral and textual datasets. Bilenko's recent work has focused on learning algorithms that leverage user behavior to improve online advertising. His papers have been published at KDD, ICML, SIGIR, and WWW among other venues, and he has received best paper awards from SIGIR and KDD.

John Langford is a computer scientist working as a senior researcher at Yahoo! Research. Previously, he was affiliated with the Toyota Technological Institute and IBM T. J. Watson Research Center. Langford's work has been published at conferences and in journals including ICML, COLT, NIPS, UAI, KDD, JMLR and MLJ. He received the Pat Goldberg Memorial Best Paper Award, as well as best paper awards from ACM EC and WSDM. He is also the author of the popular machine learning weblog, hunch.net.

Details zur Ausgabe

• Verlag: Cambridge University Press
• Erscheinungsdatum: 2012
• ISBN 10: 0521192242
• ISBN 13: 9780521192248
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 492
• Kontakt zum Hersteller: Nicht verfügbar