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» The Unpredictable Deviousness of Models
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AAAI
2007
13 years 9 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long
IPPS
1998
IEEE
13 years 11 months ago
A Resource Management Model for Dynamic, Scalable, Dependable, Real-Time Systems
Abstract. Dynamic real-time systems function in unpredictable environments and have requirements that span many domains such as time, survivability, and scalability. The system req...
Binoy Ravindran, Lonnie R. Welch, Carl Bruggeman, ...
AAMAS
2008
Springer
13 years 7 months ago
A capabilities-based model for adaptive organizations
Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more r...
Scott A. DeLoach, Walamitien H. Oyenan, Eric T. Ma...
SIGKDD
2010
128views more  SIGKDD 2010»
13 years 2 months ago
On cross-validation and stacking: building seemingly predictive models on random data
A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
Claudia Perlich, Grzegorz Swirszcz
SACMAT
2011
ACM
12 years 10 months ago
Modeling data flow in socio-information networks: a risk estimation approach
Information leakage via the networks formed by subjects (e.g., Facebook, Twitter) and objects (e.g., blogosphere) − some of whom may be controlled by malicious insiders − ofte...
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling...