40 search results - page 6 / 8 » Ensemble Methods for Unsupervised WSD |
MLDM
2009
Springer
14 years 3 months ago
2009
Springer
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a ...
KBS
2006
13 years 8 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
JIKM
2006
13 years 8 months ago
2006
Abstract. This paper proposes a decision support system for tactical air combat environment using a combination of unsupervised learning for clustering the data and an ensemble of ...
DIS
2008
Springer
13 years 10 months ago
2008
Springer
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
MLDM
1999
Springer
14 years 24 days ago
1999
Springer
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...