598 search results - page 3 / 120 » Experiments with Classifier Combining Rules |
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
FUIN
2002
13 years 5 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...
ACL
1998
13 years 7 months ago
1998
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...
INFFUS
2002
13 years 5 months ago
2002
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...