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IJCNN
2008
IEEE
16 years 23 days ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
ICANN
2007
Springer
16 years 16 days ago
Evolutionary Multi-objective Optimization of Spiking Neural Networks
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
JDCTA
2008
117views more  JDCTA 2008»
15 years 6 months ago
Efficiency Enhancement of Neural Network with Phase Only Correlation
The research work is carried out to enhance the recognition accuracy of neural network with Phase Only Correlation (POC) and reduce the time required for POC by refining its input...
Usman Qayyum
AEI
2000
120views more  AEI 2000»
15 years 6 months ago
A neural network approach for a robot task sequencing problem
This paper presents a neural network approach with successful implementation for the robot task-sequencing problem. The problem addresses the sequencing of tasks comprising loadin...
Oded Maimon, Dan Braha, Vineet Seth
NIME
2004
Springer
129views Music» more  NIME 2004»
15 years 11 months ago
Real-time Gesture Mapping in Pd Environment using Neural Networks
In this paper, we describe an adaptive approach to gesture for musical applications. Neural Network abstractions and interfaces are implemented in the Pure Data environment which ...
Arshia Cont, Thierry Coduys, Cyrille Henry