35 search results - page 4 / 7 » A class of competitive learning models which avoids neuron u... |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
NIPS
2007
13 years 8 months ago
2007
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
EUROCAST
2007
Springer
13 years 11 months ago
2007
Springer
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
RIVF
2008
13 years 8 months ago
2008
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...