78 search results - page 2 / 16 » Learning and evaluating classifiers under sample selection b... |
BMCBI
2006
13 years 5 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
TCBB
2011
12 years 12 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
CORR
2002
Springer
13 years 4 months ago
2002
Springer
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
ASSETS
2007
ACM
13 years 9 months ago
2007
ACM
Except for trivial cases, any accessibility evaluation has to be based on some method for selecting pages to be analyzed. But this selection process may bias the evaluation. Up to...