421 search results - page 22 / 85 » Reducing Label Complexity by Learning From Bags |
80
Voted
LREC
2008
14 years 11 months ago
2008
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
EMNLP
2009
14 years 7 months ago
2009
We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
EUROCOLT
1995
Springer
15 years 1 months ago
1995
Springer
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (fr...
CIDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...