A. David M. Garvin

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An algorithm is presented for determining the subset of the basis functions of a generalized single-layer network (GSLN) needed to solve the classification problem defined by the training data. A Markov chain Monte Carlo sampling technique is used to traverse the space of models having a low sum squared error (SSE). The frequency of a term's inclusion is an(More)
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