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Many attempts have been made to develop such schemes involving both the unknown function and its derivatives.
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It is interesting to point out that any equation that includes both integrals and derivatives of the unknown function u ( x ) is called an integro-differential equation.
for the unknown function.
This adds to the uncertainty about the unknown function.
We claim that the unknown function in (3.9) satisfies (3.10).
Fuzzy logic systems are employed to approximate the unknown functions.
Because the unknown functions are included in the systems, the neural networks are used to estimate the unknown functions.
represent the unknown functions.
Other mRNAs, of both known and unknown functions, shared the cyclic dynamics of rhoptry and microneme classes, suggesting that common transcription and mechanisms that lead to decreases in mRNA abundance may operate (e.g. Fig. 4F IMC proteins and 4H, motor proteins).
Both genes are of unknown function.
As a result, the value of the confidence threshold (i.e. the minimum degree of confidence for an edge to be significant and therefore accepted as an edge of G 0 ) is an unknown function of both the data and the structure learning algorithm.
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