1427 search results - page 11 / 286 » Learning with Annotation Noise |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
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ICCBR
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
CORR
1999
Springer
14 years 9 months ago
1999
Springer
In recent work we have presented a formal framework for linguistic annotation based on labeled acyclic digraphs. These `annotation graphs' oer a simple yet powerful method fo...