88 search results - page 1 / 18 » Constraint Projections for Ensemble Learning |
AAAI
2008
13 years 7 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
ICML
2009
IEEE
13 years 11 months ago
2009
IEEE
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
SIGMOD
2011
ACM
12 years 7 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...