PRIS
2004
13 years 6 months ago
2004
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
FLAIRS
2008
13 years 7 months ago
2008
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
FROCOS
2000
Springer
13 years 8 months ago
2000
Springer
In this paper we extend the applicability of our combination method for decision procedures for the word problem to theories sharing non-collapse-free constructors. This extension ...
IDEAL
2007
Springer
13 years 11 months ago
2007
Springer
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
CADE
2005
Springer
14 years 5 months ago
2005
Springer
We present a combination method for generating interpolants for a class of first-order theories. Using interpolant-generation procedures for individual theories as black-boxes, our...