Search Results for "hidden markov java"

Java Modelling Tools is a suite of scientific tools for performance analysis and modelling using queueing theory and colored stochastic Petri nets. Models are solved either with analytical, asymptotic or simulation methods; workload characterization tools are also included in the suite. See the project website for more details: http://jmt.sf.net

JAGS is Just Another Gibbs Sampler. It is a program for the statistical analysis of Bayesian hierarchical models by Markov Chain Monte Carlo.

UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy.

Visual Figaro is an integrated environment to develop component libraries for the dependability modeling tool KB3 used by EDF (http://www.edf.fr/recherche/codes-de-calcul/kb3). KB3 is based on the FIGARO reliability modeling language, suitable for describing CTMC (continuous time Markov chains), DES (discrete event simulation) models, and for automatic generation of fault trees. FIGARO is objet oriented, close to natural language and enables building libraries of reusable components...

This project is a simulation of an electromechanical computer based upon the design presented in Charles Petzold's book "CODE: The Hidden Language of Computer Hardware and Software"

The software annotates text with 41 broad semantic categories (Wordnet supersenses) for both nouns and verbs; i.e., it performs both sense disambiguation and named-entity recognition. The tagger implements a discriminatively-trained Hidden Markov Model.

HYDRA is an open-source, platform-neutral library for performing Markov Chain Monte Carlo. It implements the logic of standard MCMC samplers within a framework designed to be easy to use and to extend while allowing integration with other software to

EvoPromoter is a JAVA application that detects promoter regions in aligned nucleotide sequences using phylogenetic hidden markov models.

Pamvotis is a Wireless LAN Simulator for all the current physical layer extentions of the IEEE 802.11 (IEEE 802.11 a/b/g) standard and for the IEEE 802.11e Draft for Quality of Service in WLANs.

Data mining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).

D-finder is a bioinformatic search algorithm for the identification of D-sites in JNK interacting proteins. The algorithm is a combination of pattern matching and a hidden markov model (HMM) based on a training set of known JNK D-sites.

Software package for building, training and scoring hidden Markov models (HMMs).

Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.

Algorithms to estimate the number of k-colorings of a low-degree graph using samplings from a markov chain are provided.

HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.

UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.

Two Markov-Chain-Monte-Carlo-algorithms ("Glauber Dynamics" and "Flip Dynamics") used for randomly sampling k-colorings of a graph.

An online database and cross-platform, game-like client where gardeners/farmers (small or large scale) can log their actions and measurements (such as weather, yield, current plant size). Any user can then play it back visually, or play with the data and see a simulation inferred from the knowledge database, or calculate an optimal design within given constraints, inferred from the knowledge available at that time. This is both a tool for playing, in order to entertain and inspire...