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Neural Information Processing Series

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出版日:2014/12/05 作者:Sebastian Nowozin; Peter V. Gehler; Jeremy Jancsary; Christoph H. Lampert  出版社:Mit Pr  裝訂:精裝
The goal of structured prediction is to build machine learning models that predictrelational information that itself has structure, such as being composed of multiple interrelatedparts. These models,
出版日:2014/09/12 作者:Irina Rish; Guillermo A. Cecchi; Aurelie Lozano; Alexandru Niculescu-mizil  出版社:Mit Pr  裝訂:精裝
Sparse modeling is a rapidly developing area at the intersection of statisticallearning and signal processing, motivated by the age-old statistical problem of selecting a smallnumber of predictive var
出版日:2011/09/30 作者:Suvrit Sra; Sebastian Nowozin; Stephen J. Wright  出版社:Mit Pr  裝訂:精裝
The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design
出版日:2011/09/30 作者:Suvrit Sra; Sebastian Nowozin; Stephen J. Wright; Suvrit Sra  出版社:Mit Pr  裝訂:平裝
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning
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