Abstract: Recently, collecting and storing higher order data has become more feasible with the use of methods from multilinear algebra. High order data usually lies in a low dimensional subspace or ...
Abstract: We propose two new developments for our supervised local linear approximation technique, the so called Hierarchical Network of Locally Arranged Models. A new model will be presented that ...
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