1389 search results - page 27 / 278 » Active learning using pre-clustering |
IIR
2010
13 years 10 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
RTCSA
2007
IEEE
14 years 3 months ago
2007
IEEE
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
ECML
2006
Springer
14 years 15 days ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
ICALT
2005
IEEE
14 years 2 months ago
2005
IEEE
The purpose of this study is to consider how to use an electronic learning (e-learning) system in engineering design. The first e-learning trial in an engineering design course wa...