Support for missing values in factors. If the data set is too large to plot, sampling is applied. You can also create a grid of plots: Distribution of each column in a data frame; One target column against all others, ordering plots by degree of dependency (conditional entropy); All pa...
And, because packet reordering can be caused by a variety of different factors, you can actually measure these other network metrics to detect packet reordering as well, Here are some key metrics to consider: Jitter: Jitter refers to the variation in packet delay caused by fluctuations in networ...
Buss,R.,R.,... - JOURNAL OF PHYSIOLOGY -LONDON THEN CAMBRIDGE- 被引量: 30发表: 1999年 Role of nitrosyl factors in the hindlimb vasodilation elicited by baroreceptor afferent nerve stimulation This study determined whether electrical stimulation (ES) of the baroreceptor afferent fibers in the aort...
1.0f / dca_downmix_scale_factors[get_bits(&s->gb, 6) << 2];for (i = base_channel; i < s->prim_channels; i++) { s->xxch_downmix |= (1 << i); mask[i] = get_bits(&s->gb, s->xxch_nbits_spk_mask); }for (j = base_channel; j < s->prim_channels; j++) { ...
1998: Growth factors in infant germinal matrix: relationship to extracellular matrix and cell adhesion molecules Journal of Neuropathology and Experimental Neurology 57(9): 858-865 Lallier, T.E.; Yukna, R.; Moses, R.L. 2001: Extracellular matrix molecules improve periodontal ligament cell adhesion...
Then,we discussed the distribute rules of stationary state solution and the(order) structure of knowledge share,and analyzed the factors of affecting order structure. 基于员工的知识共享行为,引入了企业知识共享结构的概念,采用概率方法构造了描述员工知识共享行为的运动方程,然后讨论了其定态解的分布规律及企...
The presence of a high concentration of non-equilibrium vacancies after quench, favouring the reordering processes, is likely lowering the activation energies in the present case with respect to Mn and Cu self-diffusion [29,30]. 3.2. Pre-Exponentional Factor The pre-exponential factors ko ...
Convolutional neural networks have been widely applied in the field of computer vision. In convolutional neural networks, convolution operations account for more than 90% of the total computational workload. The current mainstream approach to achieving high energy-efficient convolution operations is through...