474 search results - page 9 / 95 » Prioritized Conditional Imperatives: Problems and a New Prop... |
KDD
2009
ACM
14 years 8 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...
JMLR
2006
13 years 7 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
RTAS
1996
IEEE
13 years 11 months ago
1996
IEEE
The proliferation of mobile computers and wireless networks requires the design of future distributed real-time applications to recognize and deal with the signi cant asymmetry be...
NIPS
2008
13 years 9 months ago
2008
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...