Search Results for "hidden markov java" - Page 2

Trofast is an intelligent spell checker library based on statistical analysis developed for the Danish language. It makes use of n-grams, hidden Markov models and the Viterbi-algorithm.

This package implements the phrased-based hidden semi-Markov model described: Jesús Andrés-Ferrer, Alfons Juan. A phrase-based hidden semi-Markov approach to machine translation. Procedings of European Association for Machine Translation (EAMT), 2009. pp. 168-175. This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior installation of jaf_MT.

ESMERALDA is a development environment for statistical recognizers operating on sequential data (speech, handwriting, biological sequences). It supports continuous density Hidden Markov models, Markov chain (N-gramm) models, and Gaussian mixture 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.).

RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit against the evolutionary group that the HMM models, and it does this using through iterative database searches and incremental subsequent adaptation of the seed set.

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.

hmm2gviz is a tool used for converting hidden Markov models generated by HMMER into a graph visualization using Graphviz.

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.

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

CMATLIB is set of libraries for writing numerical applicatons. It includes support for neural-networks, hidden Markov models, kd-trees, and data smoothing. It may be used from C and Scheme programs.

Find sweeps using Hidden Markov models using a Matlab package

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...