7 search results - page 1 / 2 » Confidence-Based Feature Acquisition to Minimize Training an... |
SDM
2010
SIAM
13 years 5 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
In medical diagnosis, doctors often have to order sets of medical tests in sequence in order to make an accurate diagnosis of patient diseases. While doing so they have to make a ...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...