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» On Computing Functions with Uncertainty
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DAGSTUHL
1994
15 years 8 months ago
Function-Based Object Recognition
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
Louise Stark, Kevin W. Bowyer
CL
2007
Springer
15 years 6 months ago
Skeleton-based parallel programming: Functional and parallel semantics in a single shot
Semanticsofskeleton-basedparallelprogramminglanguagescomesusuallyastwodistinctitems:afunctionalsemantics,modeling the function computed by the skeleton program, and a parallel sem...
Marco Aldinucci, Marco Danelutto
IJON
2006
103views more  IJON 2006»
15 years 6 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
POPL
2012
ACM
14 years 2 months ago
A type theory for probability density functions
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Ale...
DAC
2008
ACM
16 years 7 months ago
Functional test selection based on unsupervised support vector analysis
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...