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transition-matrix

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Predictions-with-Markov-Chains

Predictions with Markov Chains is a JS application that multiplies a probability vector with a transition matrix multiple times (n steps - user defined). On each step, the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over n steps.

  • Updated Mar 21, 2022
  • HTML
Markov-Chains-Prediction-framework

This application makes predictions by multiplying a probability vector with a transition matrix multiple times (n steps - user defined). On each step the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over a number of steps.

  • Updated Nov 17, 2022
  • Visual Basic 6.0
Markov-Chains-Simulation-framework

The Markov Chains - Simulation framework is a Markov Chain Generator that uses probability values from a transition matrix to generate strings. At each step the new string is analyzed and the letter frequencies are computed. These frequencies are displayed as signals on a graph at each step in order to capture the overall behavior of the MCG.

  • Updated Nov 17, 2022
  • Visual Basic 6.0
Markov-Chains-scanner

The current JS application is a detector that uses observation sequences to construct the transition matrices for two models, which are merged into a single log-likelihood matrix (LLM). A scanner can use this LLM to search for regions of interest inside a longer sequence called z (the target).

  • Updated Mar 21, 2022
  • HTML

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