Tags » Gaussian


Gaussian Elimination (Row Reduction)

Gaussian elimination is an algorithm for solving systems of linear equation.  It is avaible when the number of equations equals or more than the number of unknowns. 274 more words

Lecture Notes

Setting up Gaussian09 on Ubuntu

This has worked without issues on Ubuntu 15.04 and above to install the Gaussian 09 binaries.

  1. Copy all Gaussian files to a folder under the home folder, for example…
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Confidence Interval of Normal Distribution

Ref: https://www.quora.com/What-is-the-difference-between-99-and-95-confidence-interval

Confidence intervals are a little bit tricky in a sense that people don’t define what they really mean by confidence interval.

Now let me tell you a scenario using which you can start understanding CIs on a very basic level. 611 more words


Introduction XI - Distributions and what they model

A lot of random variables follow a known distribution. It is therefore good to know some of the most common distributions and what they model. Remembering their PMFs or PDFs is not necessary. 382 more words


[BayesOpt 2] Gaussian Process for Regression

Gaussians and Gaussian Process
Gaussian Process for Regression
Bayesian Optimization – intuition (and some theory)

Bài này nằm trong Draft hơi lâu rồi, nên hôm nay publish luôn, mặc dù còn vài ý chưa viết hết.

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Partial optimization in Gaussian09

There are several ways to do partial optimization (freeze coordinates) in Gaussian.


Bayesian Optimization part 1: Gaussians and Gaussian Process

SigOpt, công ty làm về Bayesian Optimization  mà có lần mình làm chung vài thứ linh tinh, có hẳn một booth trong KDD năm nay. Nói như Nando de Freitas: “ 875 more words

Machine Learning