4591 search results - page 136 / 919 » Learning from Dyadic Data |
140
click to vote
ECCV
2004
Springer
16 years 5 months ago
2004
Springer
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
135
click to vote
AAAI
2007
15 years 6 months ago
2007
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
141
click to vote
COLT
2008
Springer
15 years 5 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
149
click to vote
TCBB
2011
14 years 10 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
137
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...