311 search results - page 15 / 63 » Learning to rank: from pairwise approach to listwise approac... |
JMLR
2002
13 years 8 months ago
2002
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
ICMCS
2006
IEEE
14 years 3 months ago
2006
IEEE
People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
NIPS
2003
13 years 10 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...