|
gptkbp:instanceOf
|
gptkb:logic
|
|
gptkbp:describes
|
gptkb:stochastic_process
|
|
gptkbp:firstDescribed
|
1906
|
|
gptkbp:generalizes
|
gptkb:Hidden_Markov_model
Markov chain
|
|
gptkbp:hasApplication
|
gptkb:reinforcement_learning
control systems
game theory
genetics
queueing theory
robotics
weather prediction
bioinformatics
speech synthesis
image analysis
credit scoring
stock market analysis
|
|
gptkbp:hasProperty
|
gptkb:Markov_property
memoryless property
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Markov model
|
|
gptkbp:limitation
|
assumes future state depends only on current state
|
|
gptkbp:namedAfter
|
gptkb:Andrey_Markov
|
|
gptkbp:relatedTo
|
gptkb:Markov_random_field
gptkb:continuous-time_Markov_process
gptkb:discrete-time_Markov_process
gptkb:Markov_blanket
Boltzmann machine
Markov chain
absorbing state
ergodicity
irreducibility
state space
stationary distribution
stochastic matrix
transition matrix
transition probability
semi-Markov process
state transition diagram
reversibility
|
|
gptkbp:usedIn
|
gptkb:information_theory
gptkb:machine_learning
gptkb:probability_theory
gptkb:statistical_mechanics
biology
economics
natural language processing
speech recognition
statistics
|
|
gptkbp:bfsParent
|
gptkb:dynamic_Bayesian_network
|
|
gptkbp:bfsLayer
|
7
|