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» Modeling Signs Using Functional Data Analysis
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BMCBI
2010
150views more  BMCBI 2010»
14 years 11 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
SAS
2010
Springer
134views Formal Methods» more  SAS 2010»
15 years 3 days ago
Strictness Meets Data Flow
Abstract. Properties of programs can be formulated using various techdataflow analysis, abstract interpretation and type-like inference systems. This paper reconstructs strictness...
Tom Schrijvers, Alan Mycroft
DFG
2004
Springer
15 years 5 months ago
Verification of PLC Programs Given as Sequential Function Charts
Programmable Logic Controllers (PLC) are widespread in the manufacturing and processing industries to realize sequential procedures and to avoid safety-critical states. For the spe...
Nanette Bauer, Sebastian Engell, Ralf Huuck, Sven ...
BMCBI
2010
153views more  BMCBI 2010»
15 years 1 months ago
Starr: Simple Tiling ARRay analysis of Affymetrix ChIP-chip data
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay used for investigating DNA-protein-binding or post-translational chromatin/histone ...
Benedikt Zacher, Pei Fen Kuan, Achim Tresch
ICONIP
2009
14 years 11 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa