Markovian discrimination

Markovian discrimination typically refers to methods in statistics or machine learning that leverage Markov processes to classify or discriminate between different states or conditions based on observed data. In a Markovian framework, the system's future state depends only on its present state and not on its past states, which simplifies the modeling of sequential or time-dependent data.