Showing 6 open source projects for "hidden markov java"

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  • 1
    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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  • 2
    Local Observations to Global Integration
    Logi (Local Observations to Global Integration) transforms several local coordinate systems (composed of polar measurements) into a global spatial uniform network with respect to the Guide to the Expression of Uncertainty in Measurement (GUM).
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  • 3

    High-order HMM in Matlab

    Implementation of duration high-order hidden Markov model in Matlab.

    Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.
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  • 4

    gundercrypt [MOVED]

    A CLI text encrypting/ciphering program and library for java

    ** MOVED: to github.com/gundermanc/gundercrypt A CLI text ciphering program and library written in java that makes use of pseudo random numbers and a password (provided by the user) to generate encrypted text by selectively shifting each subsequent letter by a pseudo-random index, encoding it as a letter stored in a hidden position within the String, and then re shifting the encrypted String again by numeric values deduced from a password to provide a dual layer of security. ...
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  • 5
    BayesianCortex

    BayesianCortex

    simple algorithm for a realtime interactive visual cortex for painting

    A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be...
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  • 6
    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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