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ICTAC
2009
Springer
15 years 5 months ago
Input-Output Model Programs
Abstract. Model programs are used as high-level behavioral specifications typically representing abstract state machines. For modeling reactive systems, one uses input-output mode...
Margus Veanes, Nikolaj Bjørner
CTW
2002
91views more  CTW 2002»
14 years 10 months ago
Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth
IJCNN
2006
IEEE
15 years 4 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
POPL
2007
ACM
15 years 10 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic
MICCAI
2006
Springer
15 years 11 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen