252 search results - page 2 / 51 » Efficient Algorithms for Minimizing Cross Validation Error |
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
NIPS
2003
13 years 6 months ago
2003
Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...
ESA
2008
Springer
13 years 6 months ago
2008
Springer
The crossing number problem is to find the smallest number of edge crossings necessary when drawing a graph into the plane. Eventhough the problem is NP-hard, we are interested in ...
COLT
1999
Springer
13 years 9 months ago
1999
Springer
The empirical error on a test set, the hold-out estimate, often is a more reliable estimate of generalization error than the observed error on the training set, the training estim...
BMCBI
2010
13 years 4 months ago
2010
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...