348 search results - page 44 / 70 » Learning on the Test Data: Leveraging Unseen Features |
BMCBI
2006
13 years 9 months ago
2006
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
DAGM
2011
Springer
12 years 9 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
GECCO
2008
Springer
13 years 10 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 ...