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1. |
Record Nr. |
UNINA990004093820403321 |
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Autore |
Slataper, Scipio <1888-1915> |
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Titolo |
Ibsen / Scipio Slataper |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Collana |
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Biblioteca sansoniana critica ; 7 |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910704613803321 |
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Autore |
Bertoni Daniel |
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Titolo |
Social Security Administration : preliminary observations on the death master file : testimony before the Committee on Homeland Security and Governmental Affairs, U.S. Senate / / statement of Daniel Bertoni |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : United States Government Accountability Office, , 2013 |
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Descrizione fisica |
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1 online resource (9 pages) |
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Collana |
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Testimony ; ; GAO-13-574T |
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Soggetti |
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Death - Proof and certification |
Information storage and retrieval systems - United States - Government policy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed July 9, 2013). |
"For release ... May 8, 2013." |
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Nota di bibliografia |
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Includes bibliographical references. |
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3. |
Record Nr. |
UNINA9910896193803321 |
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Autore |
Privault Nicolas |
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Titolo |
Discrete Stochastic Processes : Tools for Machine Learning and Data Science / / by Nicolas Privault |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (294 pages) |
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Collana |
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Springer Undergraduate Mathematics Series, , 2197-4144 |
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Disciplina |
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Soggetti |
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Stochastic processes |
Computer science - Mathematics |
Stochastic Processes |
Mathematical Applications in Computer Science |
Processos de Markov |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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- 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. |
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Sommario/riassunto |
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This 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. |
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