Bayesian Principle Implementation

inGAP is a handy, easy to use application specially designed to offer you an integrative next-generation genome analysis pipeline, which employed a Bayesian principle to detect single nucleotide polymorphisms (SNPs), small insertion/deletions (indels). inGAP has been applied to a number of genome...

DomSax is an implementation of a XML-parser based on the standard Document Object Model principle (and suns implementation), combining it with the flexibility and possibility of low memory consumption of the SAX-parser (also suns implementation). Based on the fact that most XML-documents...

Bellagio is a sample implementation of OpenMAX IL for Linux. It enables software developers and ISVs to familiarize themselves with the OpenMAX IL API and to develop their own OpenMAX multimedia and streaming media components for mobile devices, including codecs, video I/O, and audio mixers....


Platforms: *nix

Fast MD5 Implementation in Java is a heavily optimized implementation of the MD5 hashing algorithm written in Java. Fast MD5 Implementation in Java includes an optional native method for even greater speed improvements. How Fast Is It? Short answer:Much faster than any other Java...


Platforms: *nix

A Guestbook with a built-in Bayesian filter against spam


Platforms: Windows, *nix, PHP, BSD

This is a signals implementation for python. It is similar to the pydispatch module. This implementation enables you to create Signals as members of classes, as globals, or as locals. You may connect any number of functions or class methods to any signal. Connections manage themselves with the...


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

This script separates pattern implementation from your code so that you can reuse the implementation elsewhere. It is an example that shows a reusable implementation of the Observer pattern.


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

Length-limited O(1) LRU Cache implementation script is an implementation of a length-limited O(1ion scripue.


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

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

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

Derives the transfer function for digital implementation of a first order RC low pass filter and plots the step and frequency response.For details, refer to the post:http://www.dsplog.com/2007/12/02/digital-i...ow-pass-filter/


Platforms: Matlab

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


Platforms: Matlab

This is Matlab interface for the C++ implementation of the low discrepancy sequence generators Niederreiter from the GNU Scientific Library.It works under Linux.


Platforms: Matlab

This is Matlab interface for the C++ implementation of the low discrepancy sequence generators Sobol from the GNU Scientific Library.It works under Linux.


Platforms: Matlab

BayesianKit - Cocoa Objective-C Framework for a naive bayesian classifier BayesianKit is a Mac OS X Framework written by Samuel Mendes in Objective-C 2.0 and released under BSD 3-clauses license. BayesianKit offers a simple, ready to use, implementation for a bayesian classifier. A command line...


Platforms: Mac

The Pando project intends to deliver an OSGi-based implementation of the FIPA agent platform. The motivation behind Pando is the need for an open platform supporting the integration and interoperation of disparate software systems.


Platforms: Windows, Mac, Linux

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

Public domain portable Naive Bayesian message filter aimed towards C programmers.


Platforms: Windows, Mac, Linux

Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).


Platforms: *nix

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/


Platforms: Windows, Mac, Linux