28 search results - page 1 / 6 » Learning from Little: Comparison of Classifiers Given Little... |
PKDD
2004
Springer
13 years 10 months ago
2004
Springer
IJCAI
1989
13 years 5 months ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
ACL
1996
13 years 5 months ago
1996
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...