Search Results for "markov" - Page 2
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52 programs for "markov" with 1 filter applied:
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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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.
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Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation.
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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.
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This is a markov chains bot for IRC that builds and speaks sentences dynamically from a list of sentences and words it logs from a defined channel. Unlike an infobot, this bot does not use predefined triggers. Everything it says is generated at random.
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Over two-thirds of people reuse passwords across sites, resulting in an increasingly insecure e-commerce ecosystem. Learn how passwordless can not only mitigate these issues but make the authentication experience delightful. Implement Auth0 in any application in just five minutes
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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.
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Igino Corona and Davide Ariu and Giorgio Giacinto, "HMM-Web: a framework for the detection of attacks against Web applications", IEEE ICC 2009. Anomaly detection of server-side web attacks based on Hidden Markov Models (unsupervised learning).
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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.
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SediStat is simple command line aplication for automatization of statistical calculations used in facial analysis of deep water sediments. In actual version are incorporated methods of R/S analysis and Markov chains computations.
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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
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We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
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depmix is a package for the R statistical computing environment, to fit (multigroup) mixtures of latent Markov models on mixed categorical and continuous (timeseries) data
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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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.
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Algorithms to estimate the number of k-colorings of a low-degree graph using samplings from a markov chain are provided.
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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).
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NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
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hmm2gviz is a tool used for converting hidden Markov models generated by HMMER into a graph visualization using Graphviz.
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DNA, Amino Acid And RNA Tests: free software for probabilistic measurement and annotation of biological sequences, using phylogenetic Markov chains and stochastic grammars.
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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.
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Developing a serie of tools to apply markov chain analysis to text considered as time series. The primary purposes are the development of efficient core tools and adaptors to allow a variety of text sources to be processed, and of a library of sample ap
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MegaHAL is a 'conversation simulator' that learns as you talk to it. MegaHAL differs from conversation simulators such as Eliza in that it uses a Markov Model to learn how to hold a conversation. It is possible to teach MegaHAL to talk about new topic
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Generates nicknames that sound like real words after analyzing a dictionary, using a so-called Markov chain
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This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.
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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.