Goodness-of-fit tests are proposed for the assumption of normality of random errors in experimental designs where the variance of the response may vary with the levels of the covariates. The exact distribution of standardized residuals is used to make the probability integral transform for use in ...
Producing quantum states at random has become increasingly important in modern quantum science, with applications being both theoretical and practical. In particular, ensembles of such randomly distributed, but pure, quantum states underlie our understan
Crucially, by using the drive to push to shorter correlation times, we can directly observe the late-time random-walk regime in three dimensions, where β = 1/2 (Fig. 3b, middle and bottom). Remarkably, as evidenced by the dashed curves in Fig. 3a,b our data exhibit excellent ...
Sherif also found that when individuals who initially had made very different estimates were then placed in groups along with one or two other individuals, and in which all the group members gave their responses on each trial aloud (each time in a different random order), the initial difference...
A novel theory was proposed earlier to model systems with thermal gradients, based on the postulate that the spatial and temporal variation in temperature
The robot detects a random color present in the tile beneath it. The intensities of the colors on that tile are used as weights to determine which color is detected. The result is stored in an array of size C, with only the entry associated with the detected color being 1 while the ...
public datasets show that LightGBM can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. What's more,distributed learning experimentsshow that LightGBM can achieve a linear speed-up by using multiple machines for training in specific ...
(We could just use C#’s/.NET’s built-in random number generator, AutoFixture is complete overkill here—it’s meant for auto-generating test data, with support for arbitrary classes and other data structures, and we’re just getting two random ints here. I’m using AutoFixture for this...
public datasets show that LightGBM can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. What's more,distributed learning experimentsshow that LightGBM can achieve a linear speed-up by using multiple machines for training in specific ...
we conducted experiments to extract relations among the data that were used by the ML model. In experiment, we collected 10 data points each from both the topologically ordered and trivial phases consisting of 9 qubits with local random unitary applied to a fixed-point state. Then, we used SV...