Home › Books › Non-Bayesian formalisms for managing uncertainty (Report. U…
Non-Bayesian formalisms for managing uncertainty (Report. University of California, Los Angeles. Computer Science Dept) Buy on Amazon

https://www.ebooknetworking.net/books_detail-B00071QKF6.html

Non-Bayesian formalisms for managing uncertainty (Report. University of California, Los Angeles. Computer Science Dept)

AuthorJudea Pearl
PublisherUCLA, Computer Science Dept
Shop on Amazon — choose your country
🇺🇸 USA 🇨🇦 Canada 🇬🇧 UK 🇩🇪 Germany 🇫🇷 France 🇮🇳 India
Buy New on Amazon 🇫🇷

Book Details

Author(s)Judea Pearl
PublisherUCLA, Computer Science Dept
ISBN / ASINB00071QKF6
ISBN-13978B00071QKF0
MarketplaceFrance  🇫🇷

More Books by Judea Pearl

Causality: Models, Reasoning, and Inference
Causality: Models, Reasoning, and Inference
View
Causality: Models, Reasoning and Inference
Causality: Models, Reasoning and Inference
View
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning)
Probabilistic Reasoning in Intelligent Systems: Networ…
View
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)
Probabilistic Reasoning in Intelligent Systems: Networ…
View
Heuristique, stratégies de recherche intelligente pour la résolution de problèmes par ordinateur
Heuristique, stratégies de recherche intelligente pou…
View
Bayesian networks (Technical report / University of California, Los Angeles. Computer Science Dept)
Bayesian networks (Technical report / University of Ca…
View
Graphs, causality, and structural equation models (Technical report / University of California, Los Angeles. Computer Science Dept)
Graphs, causality, and structural equation models (Tec…
View
Distributed revision of belief commitment in multi-hypothesis interpretation ([Report]. University of California at Los Angeles. Computer Science Department)
Distributed revision of belief commitment in multi-hyp…
View
Formal properties of probabilistic dependencies and their graphical representations (CSD. University of California at Los Angeles. Computer Science Department)
Formal properties of probabilistic dependencies and th…
View
Markov and Bayes networks: A comparison of two graphical representations of probabilistic knowledge (CSD. University of California at Los Angeles. Computer Science Department)
Markov and Bayes networks: A comparison of two graphic…
View
Donate to EbookNetworking
Prev
Next