Finite-state Markov Chains
Finite-State Markov Chains is a stochastic process belonging to the class of Markov chains characterized by a discrete state space of finite cardinality, where the future state depends solely on the current state and not on the sequence of preceding states.
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2017–2026
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Finite-state Markov Chain
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Three models for the description of language
Noam Chomsky · IEEE Transactions on Information Theory · 1956 · 2.8K citations
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Stanford University
Stanford, United States
16 h-index
29 publications
4.3K citations
University of California, Berkeley
Berkeley, United States
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20 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
25 publications
4.3K citations
University of Southern California
Los Angeles, United States
14 h-index
35 publications
1.2K citations

Australian National University
Canberra, Australia
13 h-index
23 publications
2.6K citations

University of British Columbia
Vancouver, Canada
13 h-index
23 publications
897 citations
Technion – Israel Institute of Technology
Haifa, Israel
13 h-index
20 publications
1.7K citations
University of Michigan
Ann Arbor, United States
13 h-index
29 publications
1.7K citations
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JAP · 61 publications · 3K citations
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AAP · 43 publications · 2.3K citations
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