… Therefore, despite that each Δ i j is either a Gaussian random matrix or a bounded centered
random permutation matrix, we cannot immediately apply concentration inequality to obtain …

… in the other dimension without conflict, we incur no performance overhead at run-time. We …
permutation, we construct a quality metric based only on the input and permuted matrices. We …

… We examine the performance of the proposed methods with the following simulation … In
this paper, we introduce PermFIT, a computationally efficient permutation-based feature …

… this section is a permutation-based model… permutation-based model. Many beginning
researchers are easily confused by this phenomenon. Thus, this section only adopts a permutation-…

… We demonstrate that the performance of this method can be catastrophically bad. In … In
particular, we demonstrate that rotation matrices and circulant permutation matrices of appropriate …

… modulate the decoding performance from a low power (high error rate) to a high power (low …
, yellow: high power) and in the element of the upper triangular matrix we compare power …

… For the two-dimensional matrix, each element … performance of these existing EDAs is limited
(refer to Subsection 3.2 for more details). To overcome this defect, a novel EDA with a matrix-…

… carried out to evaluate the performance of our approach. … carried out to evaluate the
performance of the IPMX are presented. … on the performance of permutation-based GAs, as …

… GNNs and other higher-order graph networks in terms of predictive performance on well-known …
For the kernel experiments, we computed the (cosine) normalized Gram matrix for each …

… We evaluate the performance of permutation sampling strategies on tabular data, image data…
matrix, from which we calculate the elementwise mean squared error against the reference …