1584 search results - page 28 / 317 » On Combining Multiple Classifiers Using an Evidential Approa... |
FUIN
2002
13 years 10 months ago
2002
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
CLEF
2011
Springer
12 years 10 months ago
2011
Springer
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
DALT
2008
Springer
13 years 12 months ago
2008
Springer
Abstract. In most agent programming languages in practice a programmer is committed to the use of a single knowledge representation technology. In this paper we argue this is not n...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
NAACL
2007
13 years 11 months ago
2007
Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar...