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| Algorithms | 1 |
| Computer Science | 1 |
| Markov Processes | 1 |
| Models | 1 |
| Probability | 1 |
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| Information Processing &… | 1 |
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Peer reviewedBookstein, Abraham; Klein, Shmuel T.; Raita, Timo – Information Processing & Management, 1997
Discussion of text compression focuses on a method to reduce the amount of storage needed to represent a Markov model with an extended alphabet, by applying a clustering scheme that brings together similar states. Highlights include probability vectors; algorithms; implementation details; and experimental data with natural languages. (Author/LRW)
Descriptors: Algorithms, Computer Science, Markov Processes, Models
