74 search results - page 3 / 15 » Robust bounds for classification via selective sampling |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
CORR
2011
Springer
13 years 10 days ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
CSDA
2008
13 years 5 months ago
2008
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
SIGMOD
2004
ACM
14 years 5 months ago
2004
ACM
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
— In modern robust control, control synthesis may be cast as an interpolation problem where the interpolant relates to robustness and performance criteria. In particular, robustn...