34 search results - page 1 / 7 » ML-KNN: A lazy learning approach to multi-label learning |
AAAI
2012
11 years 7 months ago
2012
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
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...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...