Tags » Gaussian

RBFN Tutorial Part II - Function Approximation

A number of people have asked me, in response to my tutorial on Radial Basis Function Networks (RBFNs) for classification, about how you would apply an RBFN to function approximation or regression (and for Matlab code to do this, which you can find at the end of the post). 986 more words


Linear and Quadratic Discriminant Analysis for ML / statistics newbies

(Note: This post assumes that the reader has knowledge of basic statistics and terms used in machine learning. Inspite of that, I have provided links whereever necessary :-) ). 1,108 more words

Machine Learning/AI

tutorial program crystal bagian 5

assalamu’alaikum warahmatullahi wabarakatuh..

kali ini kita akan membahas visualisasi hasil dari program crystal menggunakan jmol. sebagai catatan versi jmol yang baru terkadang tidak dapat menampilkan hasil dari program crystal dengan baik, jadi sebaiknya kita mencoba beberapa versi jmol sehingga nanti ketemu versi jmol yang pas. 245 more words

Kimia Komputasi

Having Contractions!

One of the major advantages of having environmental control on our microscopes at the CCI, is that you can get cells to behave a… 838 more words


The Central Limit Theorem

The Central Limit Theorem says that for any data(normal or otherwise), the distribution of the sample means has an approximately normal distribution. In the history of statistics, this has simplified the development of sampling methods, statistical tests, and statistical algorithms. 266 more words


Efficient use of the clipboard on GaussView

Editing large molecules on a seemingly simple visualizer as GaussView can be a bit daunting. I’m working on a follow up of that project we… 264 more words

White Papers

Resolving Disputes

Super-resolution has been receiving a lot of press in the last 6 months, largely given the 2014 Nobel prize to Betzig, Hell and Moerner “ 644 more words