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NPL
1998
133views more  NPL 1998»
15 years 6 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
ISNN
2005
Springer
15 years 12 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
IJON
2000
86views more  IJON 2000»
15 years 6 months ago
Gain modulation of recurrent networks
Gain modulation is an important mechanism by which attentional and other inputs modify the amplitude of neuronal responses without changing their selectivity. Gain modulation has ...
Jian Zhang 0004, L. F. Abbott
LCN
1995
IEEE
15 years 10 months ago
Interconnection of FDDI-II networks through an ATM backbone - An analysis
The waiting tame and queue length characteristics of isochronous, synchronous and asynchronous traffic at the gateway between FDDI-11 and A T M networks are analyzed. A generalize...
Ramanagopal V. Vogety, Yashwant K. Malaiya, Anura ...
ICPR
2010
IEEE
15 years 5 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag