Diffusion Map (diffusionMap)Implements diffusion map method of data parametrization, including creation and visualization of diffusion map, clustering with diffusion K-means and r …

I happened to come across this post from 2012 and noticed a point I’d like to share again. I was discussing an article by David Cox and Deborah Mayo, in which Cox wrote:

I happened to come across this post from 2012 and noticed a point I’d like to share again. I was discussing an article by David Cox and Deborah Mayo, in which Cox wrote:

Trimmed Ensemble Kalman Filter for Nonlinear and Non-Gaussian Data Assimilation Problems

k-Anonymity k-anonymity is a property possessed by certain anonymized data. The concept of k-anonymity was first formulated by Latanya Sweeney in a paper published in 2002 as an attempt to solve the problem: “Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful.” A release of data is said to have the k-anonymity property if the information for each person contained in the release cannot be distinguished from at least k-1 individuals whose information also appear in the release. …

A monthly roundup of news about Artificial Intelligence, Machine Learning and Data Science. This is an eclectic collection of interesting blog posts, software announcements and data applications I’ve noted over the past month or so.

Andrew suggested I cross-post these from the Stan forums to his blog, so here goes.

Andrew suggested I cross-post these from the Stan forums to his blog, so here goes.

PixieDust Support of Streaming Data

COLA: Communication-Efficient Decentralized Linear Learning