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    Veronica Segura

    P-type nodes are capable of computing the exact a posteriori probability for the multiclass Gaussian problem. A theory that extends to problems where some classes are given by a sum of multiple Gaussian kernels is presented. The corresponding weight solution can actually be achieved through learning since this weight solution is a minima of the mean squared error criterion function. A special type of problem, called the 1/ΣM problem, which demonstrates the capabilities of P-type nodes is presented. The authors show that the P-type node can solve a number of interesting problems, including the I-4i -16I problem, the XOR problem, a multimodal non-Gaussian problem, and a one-class classifier problem. Read more

     

     

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      Anonymous

      There are a few short falls with this model that could be improved in the future. Speed problem is one of these falls and Barbecue grill cleaning company San Diego helps you in solving this problem. This slow speed takes much of your time and also sometimes fail in providing you with the proper and accurate results.

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