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1 vote

Learning a Gaussian from noisy observations

If I understand your question, $X$ has a Gaussian distribution and that there is added noise independent from the data, so actually your observation is $X=Z+e$ where $e$ is independent and identically …
Manel Martínez-Ramón's user avatar
0 votes

Automatic vs numerical differentiation of a function known from samples

I would apply a nonlinear regression algorithm using, for example, SVMs (http://www.di.ens.fr/~mallat/papiers/svmtutorial.pdf). You can look for software like SVM (look for the las version of LIBSVM f …
Manel Martínez-Ramón's user avatar
1 vote

General results regarding linear separability?

Linear separability is only guaranteed if $k\leq n+1$. Vapnik and chervonenkis easily proved that an affine hyperplane in a space of dimension $n$ can at most shatter (classify in all possible arbitra …
Manel Martínez-Ramón's user avatar