641 search results - page 95 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IWCMC
2006
ACM
15 years 3 months ago
2006
ACM
Adaptively adjusting transmission rate and power to concurrently enhance goodput and save energy is an important issue in the wireless local area network (WLAN). However, goodput ...
ESANN
2000
14 years 11 months ago
2000
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
EUSFLAT
2001
14 years 11 months ago
2001
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
77
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
GECCO
2009
Springer
15 years 1 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...