44 search results - page 6 / 9 » Correlated Label Propagation with Application to Multi-label... |
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
JMLR
2010
13 years 2 months ago
2010
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...