Journal of Geophysical Research: Machine Learning and Computation is an open access journal dedicated to the publication of research that develops and explores innovative data-driven and computational methodologies based on statistical analysis, machine learning, artificial intelligence, and mathematical models...
A rapid method is described for machine computation of biserial correlations in item analysis with several criteria. This method has been found to yield biserial correlations from punched IBM cards at the rate of about 41 per hour.doi:10.1007/BF02288794Laurence Siegel...
CPU-hour A measure of computer power meaningful only in the context of a set of homogenous computers. Crush™ SeeParabonCrush™. customer maximum 5-minute demand (peak demand) The greatest rate at which a customer has consumed power during any period of 5 consecutive minutes in the current...
1) Error of flowrate computation 流量计量误差例句>> 2) discharge calculation error 流量计算误差 1. Discussion on discharge calculation error using mean water depth instead of hydraulic radius; 用平均水深代替水力半径的流量计算误差的探讨3) metering error 计量误差 1. The errors appearing in the...
Take a look into the function run_nn into the core.py library. Add some prints in the various part of the function to isolate the problem and figure out the issue. At the end of training, the phone error rate (PER%) is appended into the res.res file. To see more details on the ...
摘要:The Boltzmann machine learning procedure has been successfully applied in deterministic networks of analog units that use a mean field approximation to efficiently simulate a truly stochastic system (Peterson and Anderson 1987). This type of “deterministic Boltzmann machine” (DBM) learns much fas...
rate, thus moving closer to meeting the constant illumination condition. In summary, a high frames-per-second rate allows simplifying the optical flow computation model and allows obtaining accurate results in real time. The division of the Lucas-Kanade algorithm into tasks is similar to that used...
Being able to predict astronomical events has historically been one of the great triumphs of exact science. But in 2017, how well can it actually be done? The answer, I think, is well enough that even though the edge of totality moves at just over 1000 miles per hour it shoul...
However, our focus here is not on benchmarking neural networks on machine learning tasks, but rather on methods for biological modeling. It should be noted that here, too, the majority of methods for building models of cognitive systems—which we consider “scaled up” biological modeling—are ...
In addition to that, it is not clear how the consumers can rate crude qualitative dimensions of governance, transparency, and security, as usually naive users do not have access to tools that are required to assess these. Ahmed et al. [18] propose an objective trust computation model for ...