290 search results - page 2 / 58 » Analysis of the variability of joint input-output estimation... |
MCS
2000
Springer
13 years 8 months ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
MICCAI
2009
Springer
14 years 3 days ago
2009
Springer
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
Within-subject analysis in fMRI relies on both (i) a detection step to localize which parts of the brain are activated by a given stimulus type, and on (ii) an estimation step to ...
TIT
2010
12 years 12 months ago
2010
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...