Search Results for "bayesian" - Page 6

Bis-SNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously. It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. ...

...You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be used to create any logical system. In this early version, I'm still working on edge detection and its understanding of the same shapes at different brightnesses. This will be a module of the bigger Human AI Net project and will be used for adding realtime intuitive high dimensional intelligence in audio and visual interactions with the user.

The Automated Parameter Estimation and Model Selection Toolkit is a fast, parallelized MCMC engine written in C for Bayesian inference (parameter estimation and model selection).

A general purpose Bayesian Network Toolbox. This project seeks to take advantage of Python's best of both worlds style and create a package that is easy to use, easy to add on to, yet fast enough for real world use.

KolmoGNUS is a simple yet powerful program which recommends links to the user based on his tastes. Links are taken from selected del.icio.us feeds, and user tastes are learned with a bayesian inference technique.

Open Bayes is a python free/open library that allows users to easily create a bayesian network and perform inference/learning on it. It is mainly inspired from the Bayes Net Toolbox (BNT) but uses python as a base language. www.openbayes.org

Feedisto is your personal newspaper. Your newspaper is collocted from rss feeds, parsed by a bayesian filter to rate its relevance and served as a static html page or on a webserver to train the filter. Writing plugins is very easy.

jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.

This a wxWidets based GUI for BEST(Bayesian Estimation of Species Trees) found here http://www.stat.osu.edu/~dkp/BEST/introduction/.

Expediting cancer genetic and neurogenetic discovery through Bayesian Network Analysis of microarray data. Designed for genetics researchers, this takes in raw data (and a very small about of user input) and outputs reports usable by biologists.

Bayesian anti-spam classifier written in Python.

functs is a MATLAB class for Marginalize-Product-of-Functions (MPF) operations, which are commonly encountered in Bayesian inference, e.g., in sum product over probabilistic graphical models. functs abstracts multi-variate real functions over a grid.

Provides a set of tools for processing text, such as text extraction and classification. Classification implementations to be implemented include: Bayesian and Statistical (N-gram).

This project contains the source code and data for my paper "Transliterated Arabic Name Identification Using Machine Learning and Bayesian Inferencing". Code compiles and runs under MS .NET 4.0 -or- Mono 2.8.1.

BigFoot: Bayesian alignment and phylogenetic footprinting with MCMC. Annotates the locations of conserved elements in multiple sequence while correcting for alignment uncertainty and error.

jASEN is a pure java Anti Spam ENgine combining bayesian-like scanning with intelligent email inspection and classification. jASEN is best suited to developers wishing to integrate anti-spam services into an existing server based java email application.

A python/C++ framework for Bayesian phylogenetic analysis.

Spam Filtering algorithm support for email, blogs, or any other public documents using statistical bayesian techniques.

BASILISK is a probabilistic model of the conformational space of amino acid side chains in proteins. Unlike rotamer libraries, BASILISK models the chi angles in continuous space, including the influence of the protein's backbone.

This is a reference implementation of snoBAC, a Bayesian Classifier designed to predict box H/ACA snoRNAs in Caenorhabditis nematode genomes. For details of algorithm and data, see Wang and Ruvinsky (2009) RNA in press.

JBendge - Bayesian Estimation of Nonlinear Dynamic General Equilibrium Models. The project provides a toolkit together with a graphical user interface for the specification, solution, estimation and simulation of models.

The project Environment of Crime is a generic interface to visualize and present social data and crime satistics from Berlin (Germany). Bayesian algorithms are used to extract relevant information.

FoxBAT was made in an attempt to see if Naïve Bayesian filtering commonly used for spam filtering could be employed in the World Wide Web context. The application consists of a Firefox extension (.XPI package) and a Perl server script.

An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions

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/