Search Results for "bayesian classifier php"

The RDP Classifier is a naive Bayesian classifier that can rapidly and accurately provides taxonomic assignments for bacterial and archaeal 16S rRNA sequences, fungal LSU and fungal ITS sequences, with confidence estimates for each assignment. More information and tutorials on how to install, use and retrain RDP Clasifier can be found on at https://github.com/rdpstaff/classifier and John Quensen's blog (https://john-quensen.com/). Citation: 1. Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive...

pomegranate is a library for probabilistic modeling defined by its modular implementation and treatment of all models as the probability distributions they are. The modular implementation allows one to easily drop normal distributions into a mixture model to create a Gaussian mixture model just as easily as dropping a gamma and a Poisson distribution into a mixture model to create a heterogeneous mixture. But that's not all! Because each model is treated as a probability distribution, Bayesian...

Linha do Texto is a web based game for classificate semiotic text content from user input data with 1 to 4 parameters predifined in each section. It can be used to discuss discrete and continuous semantic categories in a scientific and educational fied.

C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others.

This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...

BAGEL: software for Bayesian analysis of gene knockout screens using pooled library CRISPR or RNAi. BAGEL is a Bayesian classifier for pooled library genetic perturbation screens, using either CRISPR-Cas9 or shRNA libraries. It uses training sets of known essential and nonessential genes to estimate what the fold change distribution of an essential or nonessential gene should look like. Then, for each uncharacterized gene, it takes all observations of reagents targeting that gene (guide RNA...

dbacl is a general purpose digramic Bayesian text classifier. It can learn text documents you provide, and then compare new input with the learned categories. It can be used for spam filtering, or within your own shell scripts. Sometimes it plays che

Iris is a web based classification system. The system is a bayes classifier and calculates (and compare) the decision based upon conditional probability of the decision options. This system currently classify 3 groups of flowers from the iris dataset depending upon a few selected features. The concept which makes Iris stand out is the use of a 'window'. A window is incorporated along with the threshold while sampling. The window helps using a small dataset and emulate more samples...

Bayesian anti-spam classifier written in Python.

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.

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.

The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.

Linasf is a PHP implementation of a SpamAssassin-like spam filter. It uses Bayesian Filters, User-defined rules and Artificial Neural Networks to obtain excellent results. Training and integration with current PHP system is very easy. (uses MySQL as DB)

project is based on another open source product. extending original functionality of detecting harvester attacks, we focus on categorizing email contents by using an bayesian algorithm. this is improved by visualisation and analytics concerning keywords.

Agrumelaire : An RSS Aggregator with Bayesian Learning System. Produces an RSS feed from a set of existing feeds. Items are categorized according to the reader's interests. Resulting feed is accessible from any standard RSS client application.

This is a spam hardened Wiki. Spam protection includes no posting of URLs by public members, e-mail sign up, RSS feed of IP block list, easy ISP reporting of attacks, Bayesian IP blocking, random submit fields and Google rel attributes.

An open-source mail filter program with web-based tuning tool to deliver only wanted mail by using block/buddy lists and naive Bayesian statistical analysis. Gets POP3 mail. Uses php, sh, sendmail, html and javascript. Includes elaborate User Guide.

Classifier4J is a java library that provides an API for automatic classification of text. The default (and only current) implementation of this API is a Bayesian classifier. This library can be used for multiple purposes - as a spam filter or a blog cl

Reverned is a general purpose Bayesian classifier written in Python. It is designed to be easily extended to any application domain.

Pyndex is a simple and fast full-text indexer and Bayesian classifier implemented in Python. It uses Metakit as its storage back-end. It works well for quickly adding search to an application, and is also well suited to in-memory indexing and search.

nbC is a naive bayesian Classifier for text which coding by C++