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» Regularized Learning with Networks of Features
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JMLR
2012
13 years 2 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
IEEECIT
2010
IEEE
14 years 10 months ago
An Innovative Course about Network Storage and System Virtualization Technologies in PKU
—“Network Storage and System Virtualization Technologies” is an up-to-date course opened by the school of electronics engineering and computer science of Peking University. T...
Xiaolin Wang, Xinxin Jin, Yingwei Luo, Zhenlin Wan...
CIMCA
2008
IEEE
15 years 6 months ago
Adaption of Courses and Learning Environment to the User Context in dotLRN
The explosive growth of Internet during the last years has been reflected in the ever-increasing amount of the diversity and heterogeneity of user preferences, types and features ...
David Huerva, Jeimy Velez, Silvia Baldiris, Ram&oa...
MICAI
2005
Springer
15 years 5 months ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
BMCBI
2008
123views more  BMCBI 2008»
14 years 12 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...