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In this model, sensitivity characterizes the maximum change in the output of a function when elements change in a dataset.
A functional-style query is defined as a pipeline of any of the atomic functions, where the output of a function serves as input of the next function in the pipeline.
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\end{align} Because the output of is a function, the output of can be evaluated at a point.
Assuming that the output states of a function are randomly generated following some p-bias p independently for each input state, then the average sensitivity of the network can be estimated by: S = 2 × K × p × (1 - p) [ 7].
This activity is expressed again as output of a sigmoid function of an environmental parameter and a gain parameter.
The output of each node is the output of a transfer function which its input is the summed weighted activity of all node connections.
Each MAC is the output of a hash function taking as inputs a random number of codewords of the native packet.
The idea is depicted in Figure 2. The matching of one macro-block with another is based on the output of a cost function.
α ∈[0, 1] is the activity to express suitability of the selected interface for the current environment, which is obtained as the output of a sigmoid function of Q with G as a gain parameter.
The output of a hash function, such as h(x), is called a hash value.
On the other hand, the literature on cost minimization has described the minimum cost of providing a given volume of output as a function of an exogenous vector of input prices and the volume of output.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com