1484 search results - page 69 / 297 » Semi-supervised Learning from General Unlabeled Data |
MCS
2009
Springer
14 years 2 months ago
2009
Springer
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
UAI
2003
13 years 9 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...
EMNLP
2011
12 years 7 months ago
2011
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...