| Projects on Google Code | Results 1 - 10 of 197 |
= Numerical learning library =
NLL is a multi-platform open source project entirely written in C++. Its goal is to propose generic and efficient algorithms for machine learning and more specifically computer vision. It is intended to be very easy to integrate and it is mainly composed of header f...
optimization,
learning,
feature,
selection,
extraction,
machine,
svm,
knn,
hmm,
nn,
clustering,
CplusPlus
DREAM_ZS is a Markov Chain Monte Carlo algorithm that runs multiple chains in parallel for efficient posterior exploration. It is based on the original DREAM sampling scheme, but uses sampling from an archive of past states to generate candidate points in each individual chain.
Sampling from pas...
==Sergei==
...is a tool to find the minimum of polynomial functions R^n^ -> R. It works by conversion to the Bernstein basis.
...is named after [http://en.wikipedia.org/wiki/Sergei_Natanovich_Bernstein Сергей Натанович Бернштейн].
...is implemented in [http://www.haskell.org Haskell].
==...
=Summary=
OTK++ (Optimization Toolkit) is a nonlinear optimization library written in C++. It also has a Python-based interface for testing and comparing algorithms and a Qt-based GUI for demonstration purposes. OTK++ relies to a large extent on the Boost libraries: linear algebra operations and ...
DREAM runs multiple different chains simultaneously for global exploration, and automatically tunes the scale and orientation of the proposal distribution using differential evolution. The algorithm maintains detailed balance and ergodicity and works well and efficient for a large range of problems...
This project site facilitates community involvement in the Coopr (a COmmon Optimization Python Repository). We hope this will be something like 'Trac Hacks', which allows people to contribute code extensions and plugins without going directly through the Coopr software repository. Also, this site ...
http://company.yandex.ru/grant/2009/en/datasets
SCEM (Shuffled Complex Evolution Metropolis) (or SCEM-UA) is a model calibration/ parameter optimization / inverse modeling technique proposed by Jasper Vrugt , which provides a crucial step in the iterative process in which scientists confront their theories with observations. Within the contex...
ECsPy (pronounced "easy as pie") is a free, open source framework for creating evolutionary computations in Python. Additionally, ECsPy provides an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES), estimation of distribution algorithm (EDA), differential evolution algorithm (DEA...
python,
optimization,
evolutionary,
computation,
genetic,
algorithm,
particle,
swarm,
estimation,
distribution,
differential,
evolution,
multiobjective,
nsga-ii,
nsga2
[http://help-cspsol.googlegroups.com/web/csp-paperroll.png]
[http://neos.mcs.anl.gov/CaseStudies/cutting/index.html Cutting Stock Problem] (CSP) is well-known integer problem/model. In brief, problem is to satisfy all orders (for specific widths) using *minimum number of patterns*. Each pattern i...