1601 search results - page 83 / 321 » Closed Sets for Labeled Data |
147
click to vote
MCS
2010
Springer
15 years 6 months ago
2010
Springer
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
193
Voted
SIGMOD
2008
ACM
16 years 4 months ago
2008
ACM
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of exis...
118
click to vote
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the clas...
136
click to vote
ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
127
Voted
CIARP
2008
Springer
15 years 6 months ago
2008
Springer
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...