Bayesian Networks

Belief networks (also called Bayesian networks or causal networks) are a representation for independence amongst random variables for probabilistic reasoning under uncertainty. The purpose of this tool is to illustrate how probabilities are updated given new evidence in a belief network, and...

Learning methods for Bayesian Networks and statistical tools

Dynamic Bayesian networks (DBN) are widely applied in modeling various biological networks, including the gene regulatory network. Due to several NP-hardness results on learning static Bayesian network, most methods for learning DBN are heuristic, that employ either local search such as greedy...


Platforms: Matlab

BNet is an exact Bayesian inference library for C++. This library implements the junction tree algorithm for discrete variable Bayesian networks. Examples are provided to illustrate its capabilities. Installation: type make to compile everything type make doc to compile the documentation...


Platforms: *nix

JavaBrains is an implementation of common AI algorithms in Java. Current algorithms implemented are: * Neural Networks * Genetic Algorithms * A* Pathfinding I hope to add the following features in the near future: * Bayesian Networks * State Machines * Rule-based inference * Fuzzy logic *...


Platforms: Mac

libDAI is a handy C++ library designed to offer implementations of various inference methods for discrete graphical models. libDAI supports arbitrary factor graphs with discrete variables; this includes discrete Markov Random Fields and Bayesian Networks. The library is targeted at researchers....


Platforms: Windows

The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).


Platforms: Windows, Mac, Linux

This toolbox is a fully object-oriented toolbox with a GUI for Bayesian Wavelet Networks. It is easy to use.The training method is used here is one of powerfull, off-line training algorithm, called Hybrid Markov Chain Monte Carlo- based Bayesian Approach.Also, You can easily add your own function...


Platforms: Matlab

RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.


Platforms: Windows, Mac, Linux

"Agile Supply Demand Networks" is software for analyzing and developing logistics networks. This rapid modelling tool should help decision-making in network architecture design and performance management. ASDN software is Open Source and developed by University of Vaasa, Finland and ABB...


Platforms: Windows

A Guestbook with a built-in Bayesian filter against spam


Platforms: Windows, *nix, PHP, BSD

sux0r - Bayesian RSS is a multi-user RSS aggregator with multi-category Bayesian filtering capabilities. Filtering is the process of using Bayesian statistical methods to classify documents into categories. Right now it's used a lot for spam filtering, but in this script is that after...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

it is used for genetic algorithm implementation for scheduling in wireless sensor networks


Platforms: Matlab

A simple Bayesian Network example for exact probabilistic inference using Pearl's message-passing algorithm on singly connected graphs.


Platforms: Matlab

Used to generate random networks of any size. Necessary parameters only the number of nodes, the largest number of out-arc, the maximum interval between adjacent nodes (node number), and two parameters of beta distribution of , the output to a Excel file


Platforms: Matlab

Disk Performance Analyzer for Networks 2.0, is a free tool allowing you to monitor fragmentation across a network quickly and easily. With Disk Performance Analyzer for Networks 2.0, you can identify performance bottlenecks, scan systems from one access point, and pinpoint system problems before...


Platforms: Windows

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks...


Platforms: Windows

IntelligenceLab is a set of .NET 2.0-4.0 components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

The Disk Performance Analyzer for Networks is a stand-alone utility that detects and reports fragmentation-related performance loss on networked systems. The Performance Analyzer provided never before available single-point analysis of systems requiring defragmentation attention to achieve...


Platforms: Windows

A general purpose C++ library for Bayesian Filtering. Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition.


Platforms: Windows, Mac, Linux