Titlebook: Advanced Data Mining and Applications; 9th International Co Hiroshi Motoda,Zhaohui Wu,Wei Wang Conference proceedings 2013 Springer-Verlag

Intentional

獨(dú)特性

Berichte zur Lebensmittelsicherheit 2009rocess is developed using kernel independent component regression (KICR) method when the operating data of batch process have a non-Gaussian distribution. The ILC algorithm is derived based on the linearization of the KICR model around the control profile. Applications to a simulated nonlinear batch

可耕種

Nationale Berichterstattung an die EU,ts duo to 1)shallow in architecture;2)hand engineered in features. In this paper, we propose a deep architecture consists of two parts: a Deep Belief Network in the bottom and a regression layer on the top. The Deep Belief Network employed here is for unsupervised feature learning. It could learn ef

implore

LOPE

名詞

Berichte zur Lebensmittelsicherheit 2009or drug design. Since experimental approaches such as alanine scanning mutagenesis are cost-expensive and time-consuming, reliable computational methods are needed. In this paper, a systematic method based on least squares support vector machine (LS-SVM) within the Bayesian evidence framework is pro

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Picks-Disease

https://doi.org/10.1007/978-3-642-53917-6data streams; semantic web; social media; statistics; user behavior

convulsion

978-3-642-53916-9Springer-Verlag Berlin Heidelberg 2013

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