An investigation of the logical foundations of the theory behind Markov random processes, this text explores subprocesses, transition functions, and conditions for boundedness and continuity. Rather than focusing on probability measures individually, the work explores connections between functions.
โฆ LIBER โฆ
Markov processes in learning theory
โ Scribed by John G. Kemeny; J. Laurie Snell
- Book ID
- 112725148
- Publisher
- Springer
- Year
- 1957
- Tongue
- English
- Weight
- 559 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0033-3123
No coin nor oath required. For personal study only.
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