648 search results - page 52 / 130 » Large Margin Classification Using the Perceptron Algorithm |
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
JMLR
2002
13 years 7 months ago
2002
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
ADBIS
2007
Springer
14 years 1 months ago
2007
Springer
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
CANDC
2005
ACM
13 years 7 months ago
2005
ACM
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
WWW
2007
ACM
14 years 8 months ago
2007
ACM
The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have ...