651 search results - page 26 / 131 » Selectivity estimation in spatial networks |
ESANN
2003
13 years 10 months ago
2003
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks. These methods involve selecting a subset of nodes as landm...