What is another word for probabilistic logic network?

Pronunciation: [pɹˌɒbəbɪlˈɪstɪk lˈɒd͡ʒɪk nˈɛtwɜːk] (IPA)

A probabilistic logic network, also known as a probabilistic graphical model, is a type of graphical model used in artificial intelligence and machine learning. It represents and reasons about uncertainty in data, using a combination of probability theory and logic to infer relationships between variables. Other synonyms for probabilistic logic network include Bayesian network, belief network, graphical model, decision network, and causal probabilistic network. These terms are often used interchangeably to refer to models that use probabilistic inference to reason about uncertain data and make predictions or decisions based on that data. Regardless of the specific terminology used, all probabilistic logic networks help to address the challenge of dealing with uncertainty in complex systems.

What are the hypernyms for Probabilistic logic network?

A hypernym is a word with a broad meaning that encompasses more specific words called hyponyms.

Related words: Bayesian network, Bayesian inference, Bayesian network example, Bayes theorem, Bayesian inference example, Bayes’ theorem, probabilistic logic programming networks

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