74 search results - page 15 / 15 » Learning sparse metrics via linear programming |
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
HPDC
2000
IEEE
13 years 9 months ago
2000
IEEE
The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of the B-meson produced from electron-pos...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
ICCAD
2006
IEEE
14 years 1 months ago
2006
IEEE
Parametric yield loss due to variability can be effectively reduced by both design-time optimization strategies and by adjusting circuit parameters to the realizations of variable...