22 search results - page 2 / 5 » Cross Entropy Optimization of the Random Set Framework for M... |
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
SDM
2010
SIAM
13 years 7 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
JMLR
2008
13 years 5 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
AAAI
2007
13 years 8 months ago
2007
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...