315 search results - page 39 / 63 » Data Mining Algorithms to Classify Students |
76
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
CIDM
2009
IEEE
15 years 1 months ago
2009
IEEE
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
78
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
86
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
Gene Expression Programming (GEP) aims at discovering essential rules hidden in observed data and expressing them mathematically. GEP has been proved to be a powerful tool for cons...