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» Representing Systems with Hidden State
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BMCBI
2010
118views more  BMCBI 2010»
15 years 4 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
BMCBI
2007
104views more  BMCBI 2007»
15 years 4 months ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte
TSP
2008
167views more  TSP 2008»
15 years 2 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
DAGSTUHL
2003
15 years 5 months ago
Genetic Design: Amplifying Our Ability to Deal With Requirements Complexity
Individual functional requirements represent fragments of behavior, while a design that satisfies a set of functional requirements represents integrated behavior. This perspective ...
R. Geoff Dromey
SEFM
2007
IEEE
15 years 10 months ago
Supporting Proof in a Reactive Development Environment
Reactive integrated development environments for software engineering have lead to an increase in productivity and quality of programs produced. They have done so by replacing the...
Farhad Mehta