Light gradient boosting machineExclusive feature bundlingGradient-based one-side samplingWith the advent of the 20th century, the popularity of digital service usages is increasing every day. The internet has a
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Add two new features: Gradient-based One-Side Sampling(GOSS) and Exclusive Feature Bundling(EFB). With GOSS and EFB, LightGBM can further speed up the training. Details are avaliable in Features. 01/08/2017 : Release R-package beta version, welcome to have a try and provide feedback. 12...
1 requires a large sampling of gradient approximations, e.g., the analysis in this section takes 150 pairs of forward- and backward-in-time simulations. In this regard, future applications are expected to decrease computational load significantly through parallelization of Algorithm 1. Finally, a ...
Furthermore, the data sampling region is considered free of current influences (Kotsiaros et al., 2015). Under these assumptions, a potential field model is utilized, allowing the vector magnetic field BB at any location within the region to be expressed as the gradient of a scalar magnetic ...
Bootstrapping is a statistical method for estimating quantities and related confidence intervals (e.g., means) from a data sample by measuring those quantities when sampling from an approximating distribution (Grekousis 2019). In practice, for every set (% increase in R2, % decrease in MAE, ...
where l represents the sampling index such that . Oij is greater than or equal to 0. It attains the value of zero if and only if |yi[l]‖yj[l]| = 0 for all l and for i≠ j. It calculates the expected value of the absolute product of signals yi and yj across all samples l ...
This sampling is used to produce the results in Sect. 3. For the point source, the calculation of the intersection of a ray with the B-spline surface is non-trivial. This calculation comes down to finding the smallest positive root of the p + q degree piece-wise polynomial function f (...
After approximating the ESJD using a GP, we proceed by using the posterior mean and co-variance kernel to formulate and maximise an acquisition function that enables us to select the best possible ζ for the next sampling interval. The upper confidence bound (ψ) is one such acquisition ...
Since a high sampling rate is unpractical, it is vital to reduce the high sampling rate dependency of these controllers. It can be concluded from the above presented literature survey that, a common control strategy for CFF involves the design of a state observer to predict the wake type ...