16 search results - page 2 / 4 » Multilabel classification via calibrated label ranking |
ECIR
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
ISDA
2008
IEEE
13 years 10 months ago
2008
IEEE
In multi-label text databases one or more labels, or categories, can be assigned to a single document. In many such databases there can be correlation on the assignment of subsets...
ICML
2010
IEEE
13 years 2 months ago
2010
IEEE
In the realm of multilabel classification (MLC), it has become an opinio communis that optimal predictive performance can only be achieved by learners that explicitly take label d...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...