68 search results - page 5 / 14 » A stopping criterion for active learning |
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
91
Voted
JMLR
2002
14 years 9 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
64
Voted
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
TIP
2008
14 years 9 months ago
2008
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
76
Voted
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...