170 search results - page 20 / 34 » Learning from artifacts: metadata utilization analysis |
ML
2008
ACM
13 years 7 months ago
2008
ACM
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
ICANNGA
2009
Springer
14 years 2 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
EMNLP
2009
13 years 5 months ago
2009
Set expansion refers to expanding a partial set of "seed" objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), w...
BMCBI
2010
13 years 7 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...