IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
—Two approaches to building models for prediction of the onset of Type 1 diabetes mellitus in juvenile subjects were examined. A set of tests performed immediately before diagnos...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Performing face detection and tracking on a mobile robot in a dynamic environment is a challenging task with the real-time constraints. To realize a natural reactive behavior o...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP’s, in particular for solving approximate dynamic pr...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...