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ICML
2008
IEEE
14 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
BMCBI
2008
186views more  BMCBI 2008»
13 years 6 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
TWC
2008
201views more  TWC 2008»
13 years 6 months ago
A Novel Algorithm for Multipath Fingerprinting in Indoor WLAN Environments
Abstract--Positioning in indoor wireless environments is growing rapidly in importance and gains commercial interests in context-awareness applications. The essential challenge in ...
Shih-Hau Fang, Tsung-Nan Lin, Kun-Chou Lee