171
click to vote
ICANN
15 years 10 months ago
2005 Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
154
click to vote
ICANN
15 years 10 months ago
2005 Springer
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
167
click to vote
ICANN
15 years 10 months ago
2005 Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
124
click to vote
ICANN
15 years 10 months ago
2005 Springer
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
121
click to vote
ICANN
15 years 10 months ago
2005 Springer
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
|