37 search results - page 1 / 8 » Bayesian Active Learning for Sensitivity Analysis |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
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 ...
MICCAI
2010
Springer
13 years 2 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, ...
PERCOM
2007
ACM
14 years 4 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...