management.prometheus.metrics.export.enabled=true management.metrics.distribution.slo.http=30,50,100,150,200,300,500,700,1s,1500,2s,3s,4s,5s,7s,10s,15s,20s,30s Then ...

In case you've faced some hurdles solving the clue, Class covering the normal distribution, for short, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind ...

The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...

P(x > a) - Probability that x is greater than a P(x >= a) - Probability that x is greater than or equal to a P(x < a) - Probability that x is less than a P(x <= a ...

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

Abstract: In CRYPTO 2013, Ducas et al. introduced a bimodal discrete Gaussian distribution into the Fiat-Shamir with abort paradigm, proposing a signature scheme called BLISS, which significantly ...