864 search results - page 98 / 173 » Selective Attention Improves Learning |
143
click to vote
ICC
2007
IEEE
15 years 11 months ago
2007
IEEE
— Multiple-input multiple-output (MIMO) systems that realize a high-speed data transmission with multiple antennas at both transmitter and receiver are drawing much attention. In...
143
Voted
SECON
2007
IEEE
15 years 11 months ago
2007
IEEE
—We consider surveillance applications in which sensors are deployed in large numbers to improve coverage fidelity. Previous research has studied how to select active sensor cov...
140
Voted
ESANN
2003
15 years 6 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
157
click to vote
SDM
2004
SIAM
15 years 6 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
152
Voted
GRC
2008
IEEE
15 years 5 months ago
2008
IEEE
An adaptive and iterative LSSVR algorithm based on quadratic Renyi entropy is presented in this paper. LS-SVM loses the sparseness of support vector which is one of the important ...