144,39 €
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
  • Išparduota
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
El. knyga:
144,39 €
This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to t…
0

Bayesian Networks and Decision Graphs | knygos.lt

Atsiliepimai

(3.30 Goodreads įvertinimas)
Įvertink ir tu! Visi atsiliepimai

Aprašymas

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.

144,39 €
Prisijunkite ir už šią prekę
gausite 1,44 Knygų Eurų! ?

Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.

Mažiausia kaina per 30 dienų: 144,39 €

Mažiausia kaina užfiksuota: Kaina nesikeitė


This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)
[{"option":"72","probability":0.5,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6880855e94e791753253214.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"71","probability":15,"style":{"backgroundColor":"#de1e2f"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6880849d949d31753253021.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"68","probability":14,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/68808466bf36f1753252966.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"66","probability":13,"style":{"backgroundColor":"#e21e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/68808430739a31753252912.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"65","probability":14,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/68808402ec9871753252866.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"64","probability":15,"style":{"backgroundColor":"#e21e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/688083260580d1753252646.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"62","probability":14,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/688082c9e40011753252553.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"61","probability":14.5,"style":{"backgroundColor":"#e31e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/688082af498881753252527.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]