43 search results - page 8 / 9 » Noise-Tolerant Instance-Based Learning Algorithms |
AAAI
2007
13 years 7 months ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
AI
2002
Springer
13 years 5 months ago
2002
Springer
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
AIME
2009
Springer
13 years 9 months ago
2009
Springer
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
FLAIRS
1998
13 years 6 months ago
1998
Manual generation of training examples for supervised learning is an expensive process. One way to reduce this cost is to produce training instances that are highly informative. T...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...