4 search results - page 1 / 1 » Instance-Based Classifiers Dealing with Ambiguous Attributes... |
FLAIRS
2007
13 years 6 months ago
2007
AAAI
2007
13 years 6 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 4 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
13 years 6 months 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...