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» Development and evaluation of a model of programming errors
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PROCEDIA
2010
87views more  PROCEDIA 2010»
13 years 5 months ago
Forecast sensitivity to the observation error covariance in variational data assimilation
The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjoint-DAS) make feasible the evaluation of the derivative-based forecast...
Dacian N. Daescu
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 12 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
DAGSTUHL
2007
13 years 8 months ago
Model-Driven Development for End-Users, too!?
iary models in order to bridge the semantic gap between high-level, abstract user requirements and low-level, concrete programs and to support a stepwise refinement process. This d...
Gregor Engels
IMAGING
2004
13 years 8 months ago
Maintaining an Accurate Printer Characterization
In this study, the problem of updating a printer characterization in response to systematic changes in print-device characteristics is addressed with two distinct approaches: the ...
David Littlewood, Ganesh Subbarayan
ECOOP
1999
Springer
13 years 11 months ago
Dynamic Query-Based Debugging
Program errors are hard to find because of the cause-effect gap between the time when an error occurs and the time when the error becomes apparent to the programmer. Although debu...
Raimondas Lencevicius, Urs Hölzle, Ambuj K. S...