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Found 4 papers, 1 papers with code
Do Artificial Intelligence Systems Understand?
The main thesis concerns the inevitability of semantics for any discussion about the possibility of building conscious machines, condensed into the following two tenets: "If a machine is capable of understanding (in the strong sense), then it must be capable of combining rules and intuitions"; "If semantics cannot be reduced to syntaxis, then a machine cannot understand."
$γ$-Cascade: A Simple Program to Compute Cosmological Gamma-Ray Propagation
Modeling electromagnetic cascades during gamma-ray transport is important in many applications within astrophysics.
High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies High Energy Physics - Phenomenology
Bayesian nonparametric comorbidity analysis of psychiatric disorders
To this end, we use the large amount of information collected in the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) database and propose to model these data using a nonparametric latent model based on the Indian Buffet Process (IBP).
Bayesian Nonparametric Modeling of Suicide Attempts
In the present paper, we are interested in seeking the hidden causes behind the suicide attempts, for which we propose to model the subjects using a nonparametric latent model based on the Indian Buffet Process (IBP).
