571 search results - page 15 / 115 » Learning with Constrained and Unlabelled Data |
UAI
2003
13 years 11 months ago
2003
We formulate a principle for classification with the knowledge of the marginal distribution over the data points (unlabeled data). The principle is cast in terms of Tikhonov styl...
AAAI
2011
12 years 10 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
ICDAR
2009
IEEE
14 years 4 months ago
2009
IEEE
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
NIPS
2003
13 years 11 months ago
2003
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...