2958 search results - page 418 / 592 » Using Anonymized Data for Classification |
123
Voted
AAAI
2000
15 years 4 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
134
Voted
DAGSTUHL
2009
15 years 3 months ago
2009
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
129
Voted
HUC
2010
Springer
15 years 3 months ago
2010
Springer
With a focus on presenting information at the right time, the ubicomp community can benefit greatly from learning the most salient human measures of cognitive load. Cognitive load...
128
Voted
AI
2008
Springer
15 years 2 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
128
click to vote
JMLR
2006
15 years 2 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...