Sciweavers

126 search results - page 5 / 26
» How well does active learning
Sort
View
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
IJON
2002
98views more  IJON 2002»
13 years 7 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
ICML
2009
IEEE
14 years 8 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
ETS
2000
IEEE
100views Hardware» more  ETS 2000»
13 years 7 months ago
Pre-class Planning to Scaffold Students for Online Collaborative Learning Activities
In recent years, there is a growing interest in developing online collaborative learning environments. In a learner-centered online collaborative environment, students work togeth...
Xun Ge, Kelly Ann Yamashiro, Jack Lee
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 12 hour ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...