Sciweavers

604 search results - page 24 / 121
» Regularization and feature selection for networked features
Sort
View
ICANN
2001
Springer
15 years 8 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi
148
Voted
NETWORK
2011
14 years 10 months ago
Selective jamming/dropping insider attacks in wireless mesh networks
—Wireless mesh networks (WMNs) promise to extend high-speed wireless connectivity beyond what is possible with the current WiFi-based infrastructure. However, their unique archit...
Loukas Lazos, Marwan Krunz
121
Voted
ESANN
2001
15 years 5 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski
162
Voted
IJCNN
2000
IEEE
15 years 8 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
132
Voted
ICANN
2007
Springer
15 years 7 months ago
Classifying EEG Data into Different Memory Loads Across Subjects
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
Liang Wu, Predrag Neskovic