9 search results - page 1 / 2 » Random Ordinality Ensembles A Novel Ensemble Method for Mult... |
102
Voted
MCS
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
78
Voted
PCM
2007
Springer
15 years 3 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
100
Voted
TEC
2008
14 years 9 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
81
Voted
ICIC
2007
Springer
15 years 3 months ago
2007
Springer
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
128
Voted
ESANN
2003
14 years 11 months ago
2003
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...