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We thus demonstrate that the performance of the concerned algorithm is comparable with that of KRR, and even outperforms it when the regression function has higher regularities.
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Now we give a strong convergence result concerning Algorithm 3.1 as follows.
Concerning algorithm issues, a comparison with other approaches can be found in Alonso-Montes et al. [9].
We establish formal definitions of such aggregate performance and then investigate the following questions concerning algorithm design: 1) are some algorithms strictly better than others?
One important issue concerning Algorithm 1 is the presence of true SCAs (departing from null distribution) in cancer genomes that presumably contribute high copy number deviations to the estimation of overall null distribution (governing only sporadic CNAs), potentially reducing power to detect less-extreme SCAs due to theoretical conservativeness [ 9, 14].
Before proceeding to another application of nearly equiangular frames, we would like to make a comment concerning Algorithms 3 and 4. While Algorithm 4 produces frames with smaller spectral norm, the achieved improvement slightly affects the reconstruction performance of OMP.
The detection technique shown here is suitable for non-expert use as no numerical methods are used and no decisions concerning algorithms or regularization parameters are required.
Here we are concerned with algorithm strategies and parameters and how they affect the performance of the designed Tabu Search.
As far as the complexity of the proposed algorithm is concerned, the proposed algorithm relies on the SINR values acquired from the UEs on the direction of the eNB.
Behavioral patterns are concerned with algorithms and the assignment of responsibilities between objects.
The paper is concerned with algorithms for computing several extreme eigenpairs of Hermitian problems based on the conjugate gradient method.
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