Foundations of probabilistic programming:
What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their app...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
|
| Links: | https://doi.org/10.1017/9781108770750 |
| Zusammenfassung: | What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core. |
| Umfang: | 1 Online-Ressource (xiv, 568 Seiten) |
| ISBN: | 9781108770750 |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-20-CTM-CR9781108770750 | ||
| 003 | UkCbUP | ||
| 005 | 20201214100409.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 190321s2021||||enk o ||1 0|eng|d | ||
| 020 | |a 9781108770750 | ||
| 245 | 0 | 0 | |a Foundations of probabilistic programming |c edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2021 | |
| 300 | |a 1 Online-Ressource (xiv, 568 Seiten) | ||
| 336 | |b txt | ||
| 337 | |b c | ||
| 338 | |b cr | ||
| 520 | |a What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core. | ||
| 700 | 1 | |a Barthe, Gilles |d 1967- | |
| 700 | 1 | |a Katoen, Joost-Pieter | |
| 700 | 1 | |a Silva, Alexandra | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781108488518 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-20-CTM |q TUM_PDA_CTM |u https://doi.org/10.1017/9781108770750 |3 Volltext |
| 912 | |a ZDB-20-CTM | ||
| 912 | |a ZDB-20-CTM | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-20-CTM-CR9781108770750 |
|---|---|
| _version_ | 1825574046523195393 |
| adam_text | |
| any_adam_object | |
| author2 | Barthe, Gilles 1967- Katoen, Joost-Pieter Silva, Alexandra |
| author2_role | |
| author2_variant | g b gb j p k jpk a s as |
| author_facet | Barthe, Gilles 1967- Katoen, Joost-Pieter Silva, Alexandra |
| author_sort | Barthe, Gilles 1967- |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-20-CTM |
| format | eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01606nam a2200265 i 4500</leader><controlfield tag="001">ZDB-20-CTM-CR9781108770750</controlfield><controlfield tag="003">UkCbUP</controlfield><controlfield tag="005">20201214100409.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr||||||||||||</controlfield><controlfield tag="008">190321s2021||||enk o ||1 0|eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108770750</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Foundations of probabilistic programming</subfield><subfield code="c">edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiv, 568 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barthe, Gilles</subfield><subfield code="d">1967-</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Katoen, Joost-Pieter</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Silva, Alexandra</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781108488518</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-20-CTM</subfield><subfield code="q">TUM_PDA_CTM</subfield><subfield code="u">https://doi.org/10.1017/9781108770750</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-20-CTM-CR9781108770750 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-03T11:58:00Z |
| institution | BVB |
| isbn | 9781108770750 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xiv, 568 Seiten) |
| psigel | ZDB-20-CTM TUM_PDA_CTM ZDB-20-CTM |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Foundations of probabilistic programming edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva Cambridge Cambridge University Press 2021 1 Online-Ressource (xiv, 568 Seiten) txt c cr What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core. Barthe, Gilles 1967- Katoen, Joost-Pieter Silva, Alexandra Erscheint auch als Druck-Ausgabe 9781108488518 |
| spellingShingle | Foundations of probabilistic programming |
| title | Foundations of probabilistic programming |
| title_auth | Foundations of probabilistic programming |
| title_exact_search | Foundations of probabilistic programming |
| title_full | Foundations of probabilistic programming edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva |
| title_fullStr | Foundations of probabilistic programming edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva |
| title_full_unstemmed | Foundations of probabilistic programming edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva |
| title_short | Foundations of probabilistic programming |
| title_sort | foundations of probabilistic programming |
| work_keys_str_mv | AT barthegilles foundationsofprobabilisticprogramming AT katoenjoostpieter foundationsofprobabilisticprogramming AT silvaalexandra foundationsofprobabilisticprogramming |