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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.
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.
The search time to find pairs of congruent sets of N-points is greatly reduced by employing a fast search codebook based on both binary and multi-dimensional lookup tables.
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.
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.
The performance of the proposed TSG marker selection and classifier is evaluated on both binary and multi-class microarray expression data.
The method accommodates both binary and quantitative traits.
Hidost is shown with both binary and numerical features.
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