Maximum-entropy Markov model
id:
maximum-entropy-markov-model-248-1868038
title:
Maximum-entropy Markov model
text:
In statistics, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features of hidden Markov models (HMMs) and maximum entropy (MaxEnt) models. An MEMM is a discriminative model that extends a standard maximum entropy classifier by assuming that the unknown values to be learnt are connected in a Markov chain rather than being conditionally independent of each other. MEMMs find applications in natural language processi
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Maximum-entropy_Markov_model
date created:
date modified:
2021-01-13T16:43:48Z
main entity:
{"identifier":"Q6795829","url":"https://www.wikidata.org/entity/Q6795829"}
image:
fields total:
13
integrity:
13