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» The Problems of Data Modeling in Software Practice
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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 1 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
CMG
2003
15 years 5 months ago
{Performance Modeling and Evaluation of Large-Scale J2EE Applications
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Samuel Kounev, Alejandro P. Buchmann
SIGSOFT
2009
ACM
15 years 10 months ago
Automatic synthesis of behavior protocols for composable web-services
Web-services are broadly considered as an effective means to achieve interoperability between heterogeneous parties of a business process and offer an open platform for developing...
Antonia Bertolino, Paola Inverardi, Patrizio Pelli...
ECOOP
2000
Springer
15 years 8 months ago
Automated Test Case Generation from Dynamic Models
We have recently shown how use cases can be systematically transformed into UML state charts considering all relevant information from a use case specification, including pre- and ...
Peter Fröhlich, Johannes Link
CCE
2005
15 years 3 months ago
CFD analyses of complex flows
Computational fluid dynamics (CFD) of complex processes and complicated geometries embraces the transport of momentum, heat, and mass including the description of reaction kinetic...
Richard Farmer, Ralph Pike, Gary Cheng