4 search results - page 1 / 1 » Instance-Based Classifiers Dealing with Ambiguous Attributes... |
FLAIRS
2007
14 years 1 months ago
2007
AAAI
2007
14 years 1 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 10 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...
AAAI
2004
14 years 7 days ago
2004
Given a noisy dataset, how to locate erroneous instances and attributes and rank suspicious instances based on their impacts on the system performance is an interesting and import...