1078 search results - page 14 / 216 » Using Machine Learning to Support Debugging with Tarantula |
TMI
2010
14 years 10 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
ICML
2000
IEEE
16 years 16 days ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
AIME
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...