An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
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Updated
May 12, 2024 - TeX
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
cheat sheet for Artificial Intelligence
slides primarily based on the textbook "Bayesian Data Analysis Third Edition" by Gelman, Carlin, Stern, Dunson, Vehtari and Rubin
A repository for the "Cognate beginnings to bilingual lexical acquisition" study
Software development for "Bayesian nonparametric population inference". In other words, just the direct application of probability theory to get the most general, principled, model-free inference we can have.
Notes on the Bayesian Statistics w4224 class from Columbia
Code and data to reproduce "A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints"
A collaborative repository highlighting Bayesian autoregressive analysis with extensions. It is prepared by the students of Macroeconometrics at the University of Melbourne.
We are presenting a Bayesian local-level model and its extensions
Introduction to Mathematical Statistics II
Bayesian Multi-Parameter Evidence Synthesis (MPES) to estimate TB epidemiological parameters.
Neural network, ab-pruning and fuzzy logic algorithms.
Implementations of the ACE algorithm for Bayesian DOE for GLMs
Bayesian Estimation and Inference for the ECCC-GARCH Model in R
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