Modified Oja's algorithms for principal subspace and minor subspace extraction
Neural Processing Letters
The symmetric eigenvalue problem
The symmetric eigenvalue problem
Principal component extraction using recursive least squares learning
IEEE Transactions on Neural Networks
An improved sequential method for principal component analysis
Pattern Recognition Letters
Locally Defined Principal Curves and Surfaces
The Journal of Machine Learning Research
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This paper presents the definition of a formal data structure, which assists in the characterization of any neural paradigm, with no restriction, including higher-order networks. Within this model, a neural network is mathematically described by specifying ...