201 search results - page 6 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
DKE
2007
13 years 7 months ago
2007
Classification Association Rule Mining (CARM) systems operate by applying an Association Rule Mining (ARM) method to obtain classification rules from a training set of previousl...
ICCV
2009
IEEE
15 years 18 days ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
ASIAMS
2009
IEEE
13 years 8 months ago
2009
IEEE
To date, higher educational organizations are placed in a very high competitive environment. To remain competitive, one approach is to tackle the student and administration challen...
20
Voted
ECML
2001
Springer
14 years 4 days ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...