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» A Practical Approach to Model Extension
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NIPS
2000
15 years 6 months ago
The Use of Classifiers in Sequential Inference
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
Vasin Punyakanok, Dan Roth
PERCOM
2010
ACM
15 years 3 months ago
Towards ontology-driven development of applications for smart environments
—In the environments where heterogeneous devices need to share information, utilize services of each other, and participate as components in various smart applications, it is com...
Artem Katasonov, Marko Palviainen
SIGCSE
2004
ACM
112views Education» more  SIGCSE 2004»
15 years 10 months ago
Great principles in computing curricula
The nearly three dozen core technologies of computing sit in a simple framework defined by great principles and by computing practices. The great principles are of two kinds, mech...
Peter J. Denning
GG
2008
Springer
15 years 5 months ago
Model-Driven Development of Model Transformations
The model-driven development of model transformations requires both a technique to model model transformations as well as a means to transform transformation models. Therefore, t...
Pieter Van Gorp
BMCBI
2008
87views more  BMCBI 2008»
15 years 4 months ago
Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfa
Background: Empirical binding models have previously been investigated for the energetics of protein complexation (G models) and for the influence of mutations on complexation (i....
Salim Bougouffa, Jim Warwicker