ahe developed an interest in teaching english to chinese student 他在教英语到汉语学生上开发了兴趣[translate] aFor a general kurtosis value, a generalized Gaussian distribution is usually a better fit 为一般峰态价值,广义高斯发行通常是更好的适合[translate]...
The variance of the one coherent state, which is represented by a Gaussian distribution, is one shot noise unit. The slots for the SCM and CCM are deterministic, and the shown signal pattern is repeated over time. The first time slot is for the CCM, where on-off keying is employed to ...
Formally, the chemical space is defined as the set of all possible organic molecules, in particular, the biologically relevant molecules59. In the chemical space, there usually exist some structural constellations, which are populated by molecules with specific properties and can be identified using s...
A common distribution is known as the normal distribution (also called Gaussian distribution, or the bell curve). We like to fit a dataset to a distribution because if the dataset is reasonably close to the distribution, we can make assumptions based on the theoretical distribution in how we ...
The parameter K_t(x) is usually called Luttinger parameter and is related to the local compressibility of the off-equilibrium quantum fluid. In absence of interactions, \begin{aligned} \text {free fermionic limit:} \quad K_t(x)\equiv 1 \end{aligned} (75) irrespective on the space-time...
LoOP [39] instead of assigning a score to the outlier, it gives the probability that each element is an outlier. LoOP also studies the local density of the neighbors around each element, but it assumes that the distances to the nearest neighbors follow a Gaussian distribution. LocalCorrelation...
network traffic distribution is subject to change as these new devices join the network. A model trained statically struggles to adjust quickly to these changing conditions, potentially increasing false positives and negatives. Daily fluctuations in end-user demands also present new challenges for ML/DL...
Hence, as the indicator values are close to zero/ hover near zero, the selected model is less able to forecast future VaR values. Finally, the results can be compared with the outcome of a loss function, in order to assess their plausibility. Such loss function is usually employed to rank...
a gaussian distribution (because of harmonic potential). In order to achieve appropriate sampling, two of the basic conditions discussed in the sections above have to be met: (i) All conformations sampled must belong to the same distribution. Otherwise, the potential energy well underlying the ...
The data set for bearing fault detection is usually N*1 of time-series data, and the data set is sliced in a segment of 300 data points, after which the original data is transformed into a matrix of 300*(N/300). The transformed data set contains a total of N/300 subsamples, and ...