Search Results for "bayesian classifier php"

...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 networks can be dropped into a mixture just as easily as a normal distribution, and hidden Markov models can be dropped into Bayes classifiers to make a classifier over sequences. Together, these two design choices enable a flexibility not seen in any other probabilistic modeling package.

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/).

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.

...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 classifier using DEMass. DEMassBayes.7z has jar file to be used with WEKA and a readme file listing parameters used. The source files are included in DEMassBayes_Source.7z. 4. The four package is MassTER includes source and JAR file to be used with WEKA system..

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. The...

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)

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.

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.