Mass Estimation - Browse /ENNBayes at SourceForge.net

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
ENNBayes.zip	2014-08-02	6.6 MB	0
Totals: 1 Item		6.6 MB	0

This site contains a number of software implementation for Mass Estimation.

Source: readme.txt, updated 2014-09-15

Other Useful Business Software

Picsart Enterprise Background Removal API for Stunning eCommerce Visuals

Instantly remove the background from your images in just one click.

With our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.

Learn More

Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.

Download Now

Recommended Projects

Feating
Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
Isolation Forest
Isolation Forest detects data-anomalies using binary trees. Platform: R (www.r-project.org) Reference: Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou, “Isolation Forest”, IEEE International Conference on Data Mining 2008 (ICDM 08)
Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Apache MXNet (incubating)
A flexible and efficient library for deep learning

Mass Estimation Files

Get an email when there's a new version of Mass Estimation