163 search results - page 4 / 33 » Average-Case Active Learning with Costs |
CVPR
2009
IEEE
15 years 27 days ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
ICALT
2009
IEEE
13 years 9 months ago
2009
IEEE
The rapid evolution and ubiquitous use of mobile devices is an historical opportunity to improve experiential interactivity in education practices to support “deep” learning. ...
IJON
2007
13 years 5 months ago
2007
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
FOIKS
2008
Springer
14 years 2 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...