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» Using Goal-Models to Analyze Variability
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NIPS
2003
13 years 10 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
IFIP
2004
Springer
14 years 2 months ago
Looking Inside AES and BES
We analyze an algebraic representation of AES–128 as an embedding in BES, due to Murphy and Robshaw. We present two systems of equations S and K concerning encryption and key gen...
Ilia Toli, Alberto Zanoni
SPRINGSIM
2008
13 years 10 months ago
Implementation by simulation; strategies for ultrasound screening for hip dysplasia in the Netherlands
Background: Implementation of medical interventions may vary with organization and available capacity. The influence of this source of variability on the cost-effectiveness can be...
Sabrina Ramwadhdoebe, Godefridus G. van Merode, Ma...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 9 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo
CVPR
2003
IEEE
14 years 10 months ago
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
Depth from triangulation has traditionally been treated in a number of separate threads in the computer vision literature, with methods like stereo, laser scanning, and coded stru...
James Davis, Ravi Ramamoorthi, Szymon Rusinkiewicz