383 search results - page 35 / 77 » Learning Model Complexity in an Online Environment |
135
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
123
Voted
NN
2008
Springer
15 years 3 months ago
2008
Springer
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
118
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
135
Voted
KES
2006
Springer
15 years 3 months ago
2006
Springer
Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process...
199
Voted
ISDA
2010
IEEE
15 years 28 days ago
2010
IEEE
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...