2898 search results - page 14 / 580 » Ensemble Methods in Machine Learning |
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
Nested dichotomies are a standard statistical technique for tackling certain polytomous classification problems with logistic regression. They can be represented as binary trees ...
TNN
2010
13 years 2 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...