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SYNTHESE
2011
72views more  SYNTHESE 2011»
13 years 2 months ago
Science without (parametric) models: the case of bootstrap resampling
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
Jan Sprenger
QOSA
2010
Springer
13 years 11 months ago
Statistical Inference of Software Performance Models for Parametric Performance Completions
Software performance engineering (SPE) enables software architects to ensure high performance standards for their applications. However, applying SPE in practice is still challengi...
Jens Happe, Dennis Westermann, Kai Sachs, Lucia Ka...
BMCBI
2010
142views more  BMCBI 2010»
13 years 7 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan
IJON
2010
189views more  IJON 2010»
13 years 6 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 7 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...