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Hidden Markov model
ID: hidden-markov-model
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Hidden Markov model
by
Wikipedia Bot
0
1970-01-01
A
Hidden Markov Model
(HMM) is
a
statistical model
that is used to describe systems that are assumed to be
a
Markov process with hidden states. It is particularly
useful
in fields such
as
speech recognition
,
bioinformatics
, and
time series
analysis
. Here are the key components and
concepts
associated with HMMs: ### Key Components
1
. **States**: HMMs consist of
a
set of hidden states.
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