1126 search results - page 29 / 226 » Strong Feature Sets from Small Samples |
113
click to vote
CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
— Reservoir modeling is an on-going activity during the production life of a reservoir. One challenge to constructing accurate reservoir models is the time required to carry out ...
115
click to vote
JMLR
2006
15 years 1 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
121
click to vote
COLT
2008
Springer
15 years 3 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
112
click to vote
CGO
2003
IEEE
15 years 7 months ago
2003
IEEE
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...
118
click to vote
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...