148 search results - page 11 / 30 » When Semi-supervised Learning Meets Ensemble Learning |
ML
2002
ACM
14 years 9 months ago
2002
ACM
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
84
Voted
ESANN
2006
14 years 11 months ago
2006
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
81
Voted
GCB
2003
Springer
15 years 2 months ago
2003
Springer
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
66
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
IJCAI
2003
14 years 11 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...