502 search results - page 25 / 101 » Learning from General Label Constraints |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
The popularity of Wikipedia and other online knowledge bases has recently produced an interest in the machine learning community for the problem of automatic linking. Automatic hy...
ICIG
2009
IEEE
14 years 3 months ago
2009
IEEE
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
SIGIR
2012
ACM
11 years 11 months ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...