978 search results - page 5 / 196 » Infinite Ensemble Learning with Support Vector Machines |
ICMLA
2008
15 years 1 months ago
2008
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
ECML
2004
Springer
15 years 5 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
79
Voted
ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
ALT
1999
Springer
15 years 4 months ago
1999
Springer