3076 search results - page 27 / 616 » Active Learning for Networked Data |
120
Voted
NN
2000
Springer
15 years 2 months ago
2000
Springer
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
133
Voted
ICDM
2009
IEEE
15 years 9 months ago
2009
IEEE
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
160
Voted
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
128
Voted
ICML
2004
IEEE
15 years 8 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
115
Voted
PKDD
2010
Springer
15 years 13 days ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...