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This implies that the linear approximation operation of (45) is accurate enough.
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As a consequence, the successive application of approximation operations may imply in different results.
It consists of finding sets of concepts which satisfy the rough set approximation operations in assertion axioms.
It will be achieved by resorting to two algorithms to search for contexts which will be applied in the approximation operations.
Throughout the operation of the approximation procedure, we ensured that the weight matrix remained symmetric.
The delay figures for HMAC-MD5 and HMAC-SHA1 are computed based on the approximation that each operation is executed in one processor clock tick for the 500 MHz PIII processor.
Therefore, we defined the kernel density approximation, a smoothing operation that allows the estimation of a putative probability density function of data points around a certain point x as <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0011796.e024.PNG" class= inline-graphic"/>.
The findings support the use of a linear correlation as a good approximation for normal operation with a total error of less than 2%.
The experiments described in the preceding discussion involve finite sample spaces for the most part, although the central limit theorem and the Poisson approximation involve limiting operations and hence lead to integrals and infinite series.
Formulated by Equation (5), coefficient matrix K is guaranteed to accomplish the convolution operation without approximation.
To the best of our knowledge, the algorithms we propose in this paper are the only methods that realize the approximation of the CMVM operation under the shift-adds architecture, considering the sharing of common subexpressions and satisfying the error constraints.
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