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This study implements MSSVM for a ternary classification problem and labels it as TSSVM.
Gansterer and Pölz [15] developed a feature-based classifier for ternary classification, spam versus phish versus good.
That is, the three-way decisions have been performed by incorporating the idea of ternary classification into the design of extension or intension of a concept.
The key strategy of the three-way decisions theory is to consider a decision-making problem as a ternary classification one (i.e. acceptance, rejection and non-commitment).
The theory of three-way decisions is to consider a decision-making problem as a ternary classification one which is realized by the acceptance, rejection and non-commitment.
For the case k>3, this study proposes a one-vs.-one-vs.-rest (OOR) scheme that decomposes the problem into k k−1)/2 ternary classification subproblems based on the assumption of ternary voting games.
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The number of retained features with high rank is varied from N=1 to N=200 in steps of 10. Results are plotted in Fig. 2 for ternary arousal classification and in Fig. 3 for ternary valence classification.
Figure 3 shows the soil classification ternary diagram of sand silt clay.
LAID [42] is a recently explored local ternary pattern for texture classification which uses median of the local neighboring differences as a threshold.
Thus, the Cl SO4 HCO3 ternary diagram was used for the classification of the thermal fluids as a first step to describe a geothermal system.
Using the generalized result we present a complete classification of self-orthogonal ternary codes of lengths 12, 13, 14, and 15, obtained from non-fixed parts of orbit matrices of symmetric (45, 12, 3) designs admitting an automorphism of order 3. Several of the codes obtained are optimal or near optimal for the given length and dimension.
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