445 search results - page 10 / 89 » Classifying model-theoretic properties |
IJAR
2008
13 years 10 months ago
2008
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
TNN
2008
13 years 10 months ago
2008
In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for nonlinear detection in the so-called "overloaded" multiple-antenna-aided communi...
PAA
2002
13 years 9 months ago
2002
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
DIS
2006
Springer
14 years 1 months ago
2006
Springer
This paper introduces a new family of string classifiers based on local relatedness. We use three types of local relatedness measurements, namely, longest common substrings (LCStr&...