Search Results for "model-builder" - Page 2

Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide controllable adjustment range, which thereby makes it possible to provide optional modes of recommendation aiming different kinds of users.

EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.

JBernstein is a tool implemented in Java that enables to check whether a polynomial constraint holds for all variables within their domain. It is mainly used in the verification or synthesis of cyber-physical systems where the system model is nonlinear. The tool also supports specifications in assume-guarantee style. The underlying algorithm is based on a translation to Bernstein polynomials, and several optimization techniques are implemented to ensure efficiency. Concerning performance, the tool enables to check all examples in the PVS Bernstein testsuite within a second, which can be an order of magnitude faster than some other tools such as QEPCAD or REDLOG. ...

AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. Almost all classes and methods are thoroughly documented via JavaDoc (you may read full JavaDoc at the site).

FREE Download Open Source Code Simple Test of Microsoft .NET C# using MATLAB NE Builder Toolbox This is a simple demo of this powerful Matlab toolbox with some M script algo examples Download the ZIP package from http://quantlabs.net/blog/2012/11/free-download-open-source-code-simple-test-of-microsoft-net-c-using-matlab-ne-builder-toolbox-matlab-csharp/

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.

Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.

Project consists in a software that reads a copied web site to your computer and generates a graph model of it. The model is based on the links, which are seen as the edges, and the pages, which are the vertices of the graph.

Sterobil is a project used to build a 3D model from photographic pictures, based on the principle of photogrammetry. This project was developped by ECE students, in collaboration with the C2RMF.

Cycleopt optimizes the computational cost of multigrid algorithms. A cost and error model is used to optimally distribute the computational effort among the grids, depending on the desired accuracy of the solution and problem parameters.

OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition.

The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.

General purpose state observation library for Plan Old Java Objects. It enforces Model-View-Controller paradigm, has well defined API and set of ready made implementation algorithms.

Java Component created to persist and work with trees (it doesn't matter the type of persistence). Based on "Nested Set Model of Hierarchies" by Joe Celko. [Componente Java para persistir y trabajar con árboles (no importa el tipo de persistencia)]

pyMVC is a Model-View-Controller implementation library and framework written in Python for fast and high-grade software development.

Web-Service for discrete dynamic systems' model description and simulation. Firstly, recursive procedures of stochastic optimization are added. The framework for open and closed loop model description and simulation.

Model-based AI planner using binary decision diagrams. PropPlan parses PDDL descriptions of the domain and the problem, and outputs a plan.

In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model.