1605 search results - page 143 / 321 » Metric Learning to Rank |
129
Voted
ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
151
Voted
ENC
2004
IEEE
15 years 7 months ago
2004
IEEE
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
126
Voted
CVPR
2008
IEEE
15 years 5 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
116
Voted
AUSDM
2007
Springer
15 years 9 months ago
2007
Springer
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
134
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...