326 search results - page 18 / 66 » Bootstrap for neural model selection |
SIGIR
2006
ACM
14 years 3 months ago
2006
ACM
We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
NN
2006
Springer
13 years 9 months ago
2006
Springer
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
NN
2008
Springer
13 years 9 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
NN
2006
Springer
13 years 9 months ago
2006
Springer
Neurons in area V 2 and V 4 exhibit stimulus specific tuning to single stimuli, and respond at intermediate firing rates when presented with two differentially preferred stimuli (...
ECIS
2000
13 years 11 months ago
2000
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...