Search Results for "regression"

bigz is the continuation of an old BigNum project that started its life as a joined INRIA & Dec project in 1989. The current version includes many fixes and improvements. Although not as efficient as, say gmp, it is very small, reasonably efficient and extremely portable.

We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions.

Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.

AIS is an Development Platform providing a high-speed JIT compiler for LISP and JavaScript, web server, object repositories, MySQL integration and libraries supporting a wide variety of advanced genetic programming and symbolic regression techniques.

This project aims to provide a linux kernel regression test framework which will provide a systematic way to find a regression of the Linux Kernel.

ARTE, the Automatic Regression Test Environment ARTE is a black-box system testing framework, extensible with easy-deployable plugins, and perfectly suited to test inter-module communications in any kind of software project.

Automating the QA testing process for the Linux Kernel as well as automating benchmarking and regression testing.

EMOS Framework is an advanced technique for development of automated regression tests with WinRunner.