Consider if your question would be better at stats.
First, is this the correct C++ representation of the pdf gaussian function ? float pdf_gaussian = ( 1 / ( s * sqrt(2*M_PI) ) ) * exp( …
c++ distribution probability gaussian normal-distributionI'm searching for the most appropriate tool for python3.x on Windows to create a Bayesian Network, learn its parameters …
python-3.x machine-learning scikit-learn probability bayesian-networksI'm working on doing a logistic regression using MATLAB for a simple classification problem. My covariate is one continuous variable …
matlab classification probability confidence-interval logistic-regressionI'm developing a back-end application for a search system. The search system copies files to a temporary directory and gives …
language-agnostic md5 probability estimationI'm a bit confused about how to generate integer values with probabilities. As an example, I have four integers with …
javascript random probabilityI am trying to predict probabilities in a dataset using glmnet. My code reads: bank <- read.table("http://…
r probability prediction glmnetPython has my_sample = random.sample(range(100), 10) to randomly sample without replacement from [0, 100). Suppose I have sampled n such numbers …
python algorithm statistics probability sampleI have a bunch of keys that each have an unlikeliness variable. I want to randomly choose one of these …
python algorithm random distribution probabilityI want to generate a number based on a distributed probability. For example, just say there are the following occurences …
c# random probability probability-theoryI'm interested in the simple algorithm for particles filter given here: http://www.aiqus.com/upfiles/PFAlgo.png It seems …
c++ probability montecarlo inference particle-filter