BayesML: your first library for Bayesian machine learning
Material for the Pattern Recognition course FYS-3012 at UiT The Arctic University of Norway
Data Science and AI prototyping
Machine Learning 1 at TU Berlin
Implementation of some classification and clustering methods
Data and code for manuscript “Bayesian decision theory for wildlife management under uncertainty: from inference to action”
This is a repository for code involving the project that compares Bayesian Decision Theory (BDT) to the Free Energy Principle.
Belief-state control for episodic-to-semantic memory consolidation
Contains code, summary and necessary theoretical concepts of classifiers built as a part of the Machine Learning course project.
Artificial Intelligence, Fall 2019, University of Tehran
The Ecology of Decisions: Probability Distortion as the Gap Between Bayesian and Ecological Rationality
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