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Nice implementation of connectivity measures with increase speed + validation.
I have no concerns given that you obtain the same results in the validation phase. I a little surprised that you get 'ide…
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i mean, check it out: it's got clear BOUNDARIES
```
D = io.quickLoadByDate('20120601');
Y = D.blocks(2).latents;
NB = D.blocks(2).fDecoder.NulM2;
[u,s,v] = svd(D.blocks(2).latents*NB);
Y2 = Y*NB*v;
…
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To improve signal-to-noise, remove baseline, possible sources of spurious correlations, and task structure: spatial smoothing using a gaussian kernel with three voxels
Here are useful link to do kern…
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```
public static double SmoothingRule(double[] observations)
{
return (observations.StandardDeviation(true) * Math.Pow(4.0 / (3.0 * observations.Length), -0.2));
}
I'm getting a value of 38.57 w…
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As far as I know, calculate the probability density function(pdf) using kernel density estimation(kde) does not need a training procedure.
The syntax is like this: pdf_agf [-n] [-k k] [-W Wc] train t…
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Hey,
I'm actually checking for a graph partitioning function , i would like to know if it's implemented in go graph package!
Thanks for answers
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```
public static double SmoothingRule(double[] observations)
{
return (observations.StandardDeviation(true) * Math.Pow(4.0 / (3.0 * observations.Length), -0.2));
}
I'm getting a value of 38.57 w…
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This is a proposal for an API on density and density ratio estimation. This RFC first presents the proposed classes and then illustrates how typical use cases would be solved using this API. It mainly…
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It seems that Epanechnikov kernel with least squares cross-validation has a bug.
See: http://stats.stackexchange.com/questions/176906/np-package-kernel-density-estimation-with-epanechnikov-kernel
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This is the Issue for constructing the "lensing engine" of GalSim. We wish to be able to draw shears from realizations of a field with specified statistical properties and spatial correlations (which…