Markov

Decision::Markov is a Perl module with markov models for decision analysis. SYNOPSIS use Decision::Markov; $model = new Decision::Markov; $state = $model->AddState("Name",$utility); $error = $model->AddPath($state1,$state2,$probability); $error = $model->Check...

The Markovski project implements an interpreter/compiler for a language named Markovski, used to write Markov algorithms (see http://en.wikipedia.org/wiki/Markov_algorithm).

Hidden Markov models are used to describe the "stepping" behavior of molecular motors, as measured by single-molecule fluorescence techniques. Our HMM implementation is more versatile than the one described by Milescu, et al. Biophys. J. 91:3135-3150 and can be used as a "blind" step detector or...


Platforms: Matlab

This submission provides functions (and examples scripts) for estimation, simulation and forecasting of a general Markov Regime Switching Regression. Features of the package:- Support for univariate and multivariate models.- Support of any number of states and any number of explanatory...


Platforms: Matlab

The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: backwards induction, value iteration, policy iteration, linear programming algorithms with some variants.The functions were developped with MATLAB (note that one of the functions requires the...


Platforms: Matlab

As a coursework, we are required to price a double barriers knock-in binary put option. We used finite difference method in 24 ways and multinomial lattice in 12 ways. We also implemented analytic and Markov chain method. At the end, we compared these four methods and Monte Carlo method.In this...


Platforms: Matlab

HaMSTR is a Hidden Markov Model based search tool to screen EST sequence data for the presence of putative orthologs to a pre-defined set of genes. A-priori knowledge about orthology-relationships among genes in different sets of reference species is extracted from the Inparanoid-Database....


Platforms: Mac

benzo is a pseudo-ai bot that uses a markov chain to generate funny text. benzo is written in python. benzo is very much alpha-ware at this point, but expect to see a lot of new features very soon. if you are a python hacker and would like to contribute, send mail to andy@ennui.net.


Platforms: *nix

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


Platforms: Windows, Mac, Linux

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.


Platforms: Windows, Mac, Linux

This package implements the phrased-based hidden semi-Markov model described: JesAss 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...


Platforms: Mac, Linux

JAG3D is a tool to estimate geodetic 1d, 2d and 3d-networks by a least-square-adjustment called GauAz-Markov-Model. Moreover, the software supports deformation-analysis. Add-ons are coordinate-transformation (CoordTrans) or the Form-Fitting-Toolbox.


Platforms: Windows, Mac, Linux

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


Platforms: Windows, Mac, Linux

This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.


Platforms: Windows, Mac, Linux

An utility to generate random names using high order Markov chains and several language rules which can be generated from scratch, from a word list or by randomly generating a new language from several user-defined parameters


Platforms: Windows, Mac, Linux

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.


Platforms: Windows, Mac, Linux

The Metropolis-Hastings Sampler is the most common Markov-Chain-Monte-Carlo (MCMC) algorithm used to sample from arbitrary probability density functions (PDF). Suppose you want to simulate samples from a random variable which can be described by an arbitrary PDF, i.e., any function which...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This toolbox is a fully object-oriented toolbox with a GUI for Bayesian Wavelet Networks. It is easy to use.The training method is used here is one of powerfull, off-line training algorithm, called Hybrid Markov Chain Monte Carlo- based Bayesian Approach.Also, You can easily add your own function...


Platforms: Matlab

To duplicate results of the screenshot, please run:test_WHMMThis script is an implementation of Reference [1], including 2 parts:1. 1D signal denoising (page 9~11)2. 1D random process(RP) classification (page 12)Reference:[1] Wavelet-Based Statistical Signal Processing Using Hidden Markov...


Platforms: Matlab

The submission considers a case where you deduce what weather it is given the status of a shirt that is hung outside. The weather could be Sunny, cloudy, Rainy and the shirt could be dry, dryish, damp etc. Now given some probability matrices (The initial probability of the weather, the transition...


Platforms: Matlab