| 000 | 02979nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-65820-4 | ||
| 003 | DE-He213 | ||
| 005 | 20251030113132.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 241008s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031658204 _9978-3-031-65820-4 |
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| 024 | 7 |
_a10.1007/978-3-031-65820-4 _2doi |
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| 050 | 4 | _aQA274-274.9 | |
| 072 | 7 |
_aPBT _2bicssc |
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| 072 | 7 |
_aPBWL _2bicssc |
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| 072 | 7 |
_aMAT029040 _2bisacsh |
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| 072 | 7 |
_aPBT _2thema |
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| 072 | 7 |
_aPBWL _2thema |
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| 100 | 1 |
_aPrivault, Nicolas. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _985758 |
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| 245 | 1 | 0 |
_aDiscrete Stochastic Processes _h[electronic resource] : _bTools for Machine Learning and Data Science / _cby Nicolas Privault. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXII, 288 p. 144 illus., 130 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Undergraduate Mathematics Series, _x2197-4144 |
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| 505 | 0 | _a- 1. A Summary of Markov Chains -- 2. Phase-Type Distributions -- 3. Synchronizing Automata -- 4. Random Walks and Recurrence -- 5. Cookie-Excited Random Walks -- 6. Convergence to Equilibrium -- 7. The Ising Model -- 8. Search Engines -- 9. Hidden Markov Model -- 10. Markov Decision Processes. | |
| 520 | _aThis text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics. Applications to data science are also considered via hidden Markov models and Markov decision processes. A total of 32 exercises and 17 longer problems are provided with detailed solutions and cover various topics of interest, including statistical learning. | ||
| 650 | 0 |
_aStochastic processes. _976770 |
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| 650 | 0 |
_aComputer science _xMathematics. _964041 |
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| 650 | 1 | 4 |
_aStochastic Processes. _976770 |
| 650 | 2 | 4 |
_aMathematical Applications in Computer Science. _965518 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031658198 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031658211 |
| 830 | 0 |
_aSpringer Undergraduate Mathematics Series, _x2197-4144 _975368 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-65820-4 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 999 |
_c64065 _d64065 |
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