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This paper presents a generalized all optical circuit of two-input logical operation (both binary and multi-valued), using an optical nonlinear material (OPNLM) based switch.
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The functional decomposition of binary and multi-valued discrete functions and relations has been gaining more and more recognition.
This was applied to both binary and multi-class classification problems using KDD Cup '99 benchmark dataset.
Since this algorithm uses both binary and multi-way partitioning operations, which are the key characteristics of the GP and BK algorithms, respectively, it is called Hybrid.
We provide the algorithm for both binary and multi-class cancer classification.
The TSG classifier is in a simple unified form for both binary and multi-class cases.
The performance of the proposed TSG marker selection and classifier is evaluated on both binary and multi-class microarray expression data.
In this article, we presented the TSG classifier, an improved version of TSP family classifiers for both binary and multi-class cancer classification.
Table 3 summarizes the comparison of our algorithm (of both binary and multi-class versions) with others by the cross validation error rates.
But the BCM function allows for both single-valued and multi-valued memductance-flux characteristics under a single sign varying input.
In this way our results extend the results of Arshad and Ahmad [25] and also improve the corresponding results of both single-valued and multi-valued mappings existing in the literature.
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