146 search results - page 9 / 30 » Optimizing Performance of Automatic Training Phase for Appli... |
EOR
2006
13 years 9 months ago
2006
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
BMCBI
2010
13 years 9 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
HPDC
2007
IEEE
14 years 28 days ago
2007
IEEE
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
LRE
2006
13 years 9 months ago
2006
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
GECCO
2009
Springer
14 years 3 months ago
2009
Springer
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...