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To investigate general characteristics of MixDTrees and compare it with other methods, we use simulated data from mixture models with different degrees of variable dependence, and apply several unsupervised learning methods.
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This paper describes a new mathematical model for the estimation of reduced ordered binary decision diagram's (ROBDD's) complexity, for any Boolean function with different degrees of variables complexity.
where denotes the discrete equivalent of the fractional-order operator, considered as processes, and is the polynomial with degree of variable.
Because the effect of a deactivated high degree variable node on computation complexity is greater than that of a deactivated low degree variable node, we considered the degree of variable nodes as a weight.
After cell composition analysis was performed on blood (BL), the degree of variable escape dropped from 18 to 12%, which is still substantially higher than the majority of other tissues (data not shown).
A single-degree-of-freedom variable stiffness vibration suppression problem was solved in an exact implicit form using the variable stiffness comparison parameter.
The optimum degree of variables was: stirring time 3.57 min day−1, 7.41% TS of substrate working volume, 26.26% inoculum (26.26% TS) and temperature at 40.36 °C with a methane yield of 376.76 L kg−1VS in mesophilic conditions.
Add the degree of variables in each term.
Just add up the degrees of the variables in each of the terms; it does not matter that they are different variables.
Subtract the degree of the variable in the denominator from the degree of the variable in the numerator.
The degree of the variable in the numerator is 2 and the degree of the variable in the denominator is 1.
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