1097 search results - page 25 / 220 » Boosting with incomplete information |
EUSFLAT
2007
14 years 11 months ago
2007
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
105
click to vote
CIKM
2006
Springer
15 years 1 months ago
2006
Springer
We consider the problem of evaluating retrieval systems using incomplete judgment information. Buckley and Voorhees recently demonstrated that retrieval systems can be efficiently...
69
Voted
NIPS
2003
14 years 11 months ago
2003
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
103
click to vote
PAKDD
2000
ACM
15 years 1 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...