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» Reverse Engineering Component Models for Quality Predictions
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ENVSOFT
2007
127views more  ENVSOFT 2007»
14 years 9 months ago
River model calibration, from guidelines to operational support tools
Numerical modelling is now used routinely to make predictions about the behaviour of environmental systems. Model calibration remains a critical step in the modelling process and ...
Jean-Philippe Vidal, Sabine Moisan, Jean-Baptiste ...
DEBU
2008
165views more  DEBU 2008»
14 years 9 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann
CGO
2009
IEEE
15 years 4 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
ATAL
2003
Springer
15 years 2 months ago
Customizing AOSE methodologies by reusing AOSE features
Future large-scale software development projects will require engineering support for a diverse range of software quality attributes, such as privacy and openness. It is not feasi...
Thomas Juan, Leon Sterling, Maurizio Martelli, Viv...
CACM
1998
103views more  CACM 1998»
14 years 9 months ago
The Virtual Design Team
The long range goal of the “Virtual Design Team” (VDT) research program is to develop computational tools to analyze decision making and communication behavior and thereby to ...
John C. Kunz, Tore R. Christiansen, Geoff P. Cohen...