74 search results - page 14 / 15 » Ensembles of Multi-instance Learners |
AAAI
2000
13 years 8 months ago
2000
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
FSS
2008
13 years 7 months ago
2008
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
NPL
2008
13 years 7 months ago
2008
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
TCBB
2010
13 years 2 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
DIS
2009
Springer
14 years 1 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...