Bayesian Network Tools in Java was created as a handy and lightweight application that can be used for research. This useful Java / XML toolkit makes use of Bayesian networks and various other graphical models of probability.
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Description: Bayesian Network Tools in Java allows to read, analyze and visualize Bayesian network through the Java programming language and XML. The package contains a set of «classes» that can be used in any Java application. Bayesian Network Tools in Java is a toolkit created to easily create and visualize the statistical data models using Java. Using this toolkit, it’s very easy to visualize different types of Bayesian networks that can be analyzed with the help of Java. Moreover, the toolkit allows to do analytics, mining and statistical research from various Bayesian network models. Key Features : Simple User Interface. Full featured Java class Library. PLSML support. Bayesian Network sample. Bayesian Network tools. Bayesian Network algorithms. Build tool development with modeler. Bayesian network samples. Parameter estimation. Mining and statistical research from Bayesian networks. Prebuilt Jgraph library. Mining and statistical research from Bayesian networks. Related tools and projects : Bayesian Network tools has been created to be a lightweight application. Its application is intuitive, easy to use and it also contains a full featured Java library. It also contains Bayesian networks samples and tools for research. The prebuilt Jgraph library is the core of the Bayesian Network Tools in Java application. The Jgraph library is an easy to use library for Java developers, using which they can create user interfaces without any programming. The Java Source code of the Bayesian Network Tools in Java will be given as academic use only. Author and email: User reviews of Bayesian Network Tools in Java Bayesian Network Tools in Java Review Bayesian Network Tools in Java is a powerful and intuitive application to work on the different types of models created by the Bayesian networks. This program also contains various operations and algorithms to be used to analyze various models created by the Bayesian networks. As its user interface is very simple, the people from any field can use this program. The software comes with its own sample application to create the different types of models such as: Markov Networks Classifier Networks Xnomics Association Networks Gibbs Sampler Multi Variate Gaussian Model Statistical Model Construction Programs (CMG)
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A Java class library with a collection of functions that can calculate the probability of a Bayesian network, given the associations among a set of variables. These functions can then be incorporated into an existing application to aid in the analysis of a Bayesian network. These functions can also be incorporated into existing applications to aid in the analysis of probability distributions, conditional on the data.This library provides: a) functions for solving inverse problems using the Bayesian Markov chain Monte Carlo (MCMC) approach, b) functions for calculating the posterior probability of a Bayesian network, c) functions for calculating the joint probability distribution over variables in a Bayesian network, d) functions for solving prediction problems, e) functions for calculating marginal probabilities and the likelihood function for a Bayesian network Bayesian Network Tools in Java Installer: The Bayesian network tools in java software is a standalone Java installation application. Software requirements: Java Platform, Standard Edition 7.0 or later Source code requirements: N/A 1. Running the application 1.1 The install.sh file is a shell script The «install.sh» file is a shell script which will be executed during installation. To execute an executable file from the shell you must cd into its directory and then type «sh install.sh» 1.2 Command line options The installer.sh file contains command line options which must be specified when running the installer. The command line options are passed to the install.sh file at runtime by passing them on the command line using the command line option «-option». The command line options are documented using the CLIOPTS man page. 2. Installing the software 2.1 Setting up the software The software install.sh application is invoked via the command line. The install.sh application uses a series of requirements which are checked to ensure that the installation process is possible and possible in its current state. The requirements are as follows: The software is configured correctly. There is a valid login for the user who is installing the software. There is at least 3.6 GB disk space free on the target system. The available swap space for the target system does not exceed that of the target system. The PATH environment variable on the target system does not include «bin» or «jre7.0». The sh.exe executable is available on the target 2f7fe94e24
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Bayesian Network Tools (BNT) is a Java command line utility (applet) used for generating Bayesian networks and Bayesian networks visualizations. As an application used for research, BNT is designed to be used with a graphical interface. The visualizations generated by the application can be exported to various vector and bitmap formats including PDF, SVG, PNG and BMP. BNT provides tools to connect networks, search for Bayesian networks and MCMC samplers. A further feature of BNT is the ability to compare networks and to apply directed acyclic graph (DAG) equivalence checks. Many of the features of BNT can be used from the command line as well from the GUI interface. BNT is available in the following tarball version: 1.0.0.alpha6BNT (final) BNT Source Code License Agreement This software is licensed by the copyright holders under the terms of the GNU General Public License version 2 (GPL2). Please see the file lgpl.txt for details. You may distribute and/or modify the software under GPL2 as you wish. When you redistribute any part of the software, you must retain the copyright notice. In addition, if you redistribute the software, you may not alter or replace the copyright notices as made by the author or licensor. The software is provided «AS IS» and without any express or implied warranty, including the implied warranties of merchantability and fitness for a particular purpose. BNT Distribution License Agreement Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the «Software»), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED «AS IS», WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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Bayesian Network Tools in Java Application – free, open-source – cross platform – easily installed and used – compatible with Windows, Linux, and Mac OS X – takes advantage of the latest Java technologies – comes with an intuitive and easy to use graphical interface for users – can be easily extended by end users who are familiar with Java language – supports graphical models and Bayesian networks such as Bayesian Network Tools in Java: · BNTThis is the main application of the package. It takes as input a .kml file and creates a Bayesian network. It can then be viewed, manipulated, and analysed using the Graphical User Interface (GUI). In addition to this functionality, the user can also convert.rdf files into.kml files. · BNSimThis is an application for simulating the behaviour of Bayesian networks. Users can create a Bayesian network and instantiate it using the BNT interface to create a Bayesian network simulator. · BNCompletely free, open-source Bayesian networks are available in.rdf files and.kml files. To learn more about Bayesian networks and Bayesian networks tools in Java, please visit You are welcome to view, comment, and rate the package. There are three icons in the left-most toolbar in this workbench to accomplish this. They are: · The Ghost icon represents the last activity of the Bayesian NetworkTools. The Ghost icon allows you to leave and return to the application without losing the data/visualization/result. · The Ghost icon with a red disk indicates that there has been an error while processing your request. The most common reason for this is that the project’s default home page is not accesible. Please try some other browser or go to · The Paperclip icon is used to download one of the following items: · • Open source BNTThis is a package that contains a fully functional BNT. This package is available for download at the following location: · Open source BNCThis
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