IEEE

On probabilistic inference in relational conditional logics

Abstract: The principle of maximum entropy has proven to be a powerful approach for commonsense reasoning in probabilistic conditional logics on propositional languages. Due to this principle, ...
IEEE

Scaling Probabilistic Inference Through Message Contraction Optimization

Abstract: Within the realm of probabilistic graphical models, message-passing algorithms offer a powerful framework for efficient inference. When dealing with discrete variables, these algorithms ...
archive

Revamping Binary Analysis with Sampling and Probabilistic Inference

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Frontiers

Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference

1 Research Organization of Science and technology, Ritsumeikan University, Kusatsu, Shiga, Japan 2 Graduate School of Informatics, Kyoto University, Kyoto, Japan Understanding the emergence of symbol ...
The Conversation

Gambling on limited information: our visual system and probabilistic inference

Alex Burmester does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
The Next Platform

Using Bayesian Inference To Reverse Engineer Decades Of HPC

A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it ...