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ADC
2004
Springer
109views Database» more  ADC 2004»
14 years 1 months ago
Data Flow and Validation in Workflow Modelling
A complete workflow specification requires careful integration of many different process characteristics. Decisions must be made as to the definitions of individual activities, th...
Shazia W. Sadiq, Maria E. Orlowska, Wasim Sadiq, C...
BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ML
2008
ACM
134views Machine Learning» more  ML 2008»
13 years 8 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
SAGA
2001
Springer
14 years 21 days ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
MKWI
2008
112views Business» more  MKWI 2008»
13 years 9 months ago
An Environment for the Orthographic Modeling of Workflow Components
: An important goal of workflow engines is to simplify the way in which the interaction of workflows and software components (or services) is described and implemented. The vision ...
Colin Atkinson, Dietmar Stoll