78 search results - page 2 / 16 » Learning and evaluating classifiers under sample selection b... |
118
Voted
BMCBI
2006
15 years 1 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...
124
Voted
ICASSP
2010
IEEE
15 years 1 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...
128
Voted
TCBB
2011
14 years 8 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...
90
Voted
CORR
2002
Springer
15 years 29 days 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...
96
Voted
ASSETS
2007
ACM
15 years 5 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...