Search Results for "mixture"

MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack

The SPS machines are not designed to filter the particulates to be of acceptable size, level or concentration, unlike Wet Scrubbers, Electrostatic Precipitators, Diesel Particulate Filter DPF etc. The reality is that finest and ultra-finest Particulates tends to behave like gas rather than a gas-solids mixture or simply can be transported by vapour. Is the reason why many filtering technologies are ineffective. However, SPS technology is post-combustion system or last stage of production, which results in packaged CO2 or any other gases, without worrying about gas dilution and intrusion processes which more complicated and costly also are not well investigated, that is a setback for many CO2 technology. ...

For making various mixtures, like homemade alcohol, brine or e-liquids. Add a components, set a percentage in total, set how much I want a given mixture and save, share or print recipe.

...fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm. Please find the accompanying paper here: http://dx.doi.org/10.1093/bioinformatics/btt147

This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.

clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.