874 search results - page 1 / 175 » Using Feature Weights to Improve Performance of Neural Netwo... |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
RAID
1999
Springer
13 years 8 months ago
1999
Springer
The most common computer intrusion detection systems detect signatures of known attacks by searching for attack-specific keywords in network traffic. Many of these systems suffer ...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
IJCNN
2007
IEEE
13 years 10 months ago
2007
IEEE
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...