1282 search results - page 59 / 257 » Feature selection with neural networks |
121
click to vote
ML
1998
ACM
14 years 9 months ago
1998
ACM
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
JAIHC
2010
14 years 8 months ago
2010
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
TNN
2008
14 years 9 months ago
2008
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
NECO
2008
14 years 9 months ago
2008
ll Text][Abstract] , May 1, 2008; 99 (5): 2496-2509.J Neurophysiol T. O. Sharpee, K. D. Miller and M. P. Stryker Natural Stimuli On the Importance of Static Nonlinearity in Estimat...
JMLR
2010
14 years 4 months ago
2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...