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Therefore, the convergence rate and approximation precision of the RBF neural network are improved significantly.
Sub-Nyquist sampling, which can acquire signals even at very low sampling rate and yet maintain high approximation precision, has been developed over the past years to process certain signal models [1].
For every patch, a B-spline surface is reconstructed using a least-squares approximation method, and then the surface is optimized to increase the approximation precision using an IGA-based knots adjustment algorithm.
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The viability of CR or MR as he deemed has been well established by a concerned scientific community within well-defined scopes and limits of approximation and precision, and the two dimensions complement one another in specific respects.
Because of this intrinsic difficulty, any estimate of predictive accuracy should be regarded as furnishing only an approximation of precision.
A 20%% sample of the total eligible comparison group was selected because of its minimal computational burden for the estimation of propensity scores and its close approximation to precision estimates when 100%% of non-HOPWA PLWHA were included in an exploratory analysis (data not shown) [ 30].
The proposed technique is based on the mean of accuracy of approximation using variable precision of attributes.
Under the same node distribution the meshless method based on the CVMLS approximation has higher precision than the one based on the moving least-squares (MLS) approximation.
Thus, this paper constructs the double-quantitative approximation space of precision and grade (PG-Approx-Space) and tackles the fusion problem using normal logical operations.
On this basis, a monotonic set contraction algorithm is developed that converges onto the entire exact Pareto set, if nonempty, or yields its approximation with given precision in a finite number of iterations.
We demonstrate by various numerical tests that the combination of the diagonal plus low-rank plus reduced-block approximation exhibits higher precision with low numerical cost, providing as well a distinct two-sided error estimate for the smallest eigenvalues of the Bethe Salpeter operator.
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