Summary goes here
I tiakina i:
| Hōputu: | Pukapuka |
|---|---|
| Reo: | Ingarihi |
| Ngā marau: | |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| era | |
|---|---|
| format | Book |
| genre | |
| geographic | |
| id | 349e845f-bcfe-4847-8f72-59b0ff18e076 |
| isbn | 9781461451044 1461451043 |
| issn | |
| language | eng |
| physical | 1 online resource |
| publication | – publisher: Springer dateOfPublication: ©2013 |
| publishDate | ©2013 |
| subjects | |
| title | Bayesian networks and influence diagrams : a guide to construction and analysis / Uffe B. Kjræulff, Anders L. Madsen. |
| topic | Bayesian statistical decision theory. Uncertainty (Information theory) Bayes Theorem Uncertainty Théorie de la décision bayésienne. Incertitude (Théorie de l'information) Théorème de Bayes. MATHEMATICS Bayesian statistical decision theory Uncertainty (Information theory) Statistics. Computer science. Data mining. Artificial intelligence. Distribution (Probability theory) Mathematical statistics. Statistics and Computing/Statistics Programs. Probability and Statistics in Computer Science. Operations Research, Management Science. Probability Theory and Stochastic Processes. |