77 search results - page 13 / 16 » Limits on Learning Machine Accuracy Imposed by Data Quality |
ISCI
2008
13 years 8 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
BMCBI
2010
13 years 8 months ago
2010
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
ICANNGA
2007
Springer
14 years 2 months ago
2007
Springer
Currently the best algorithms for transcription factor binding site predictions are severely limited in accuracy. However, a non-linear combination of these algorithms could improv...
ICC
2009
IEEE
14 years 3 months ago
2009
IEEE
— High variability of access resources in heterogenous wireless networks and limited computing power and battery life of mobile computing devices such as smartphones call for nov...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...