Open AccessParsimonious Inference Information-Theoretic Foundations for a Complete Theory of Machine Learning (CIS-LDRD Project 218313 Final Technical Report)
Author(s) -
Jed A. Duersch,
Thomas Catanach,
Ming Gu
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1668936
Subject(s) - artificial intelligence , machine learning , computer science , inference , bayesian inference , bayesian probability , consistency (knowledge bases) , probabilistic logic network , algorithmic learning theory , context (archaeology) , bayes' theorem , active learning (machine learning) , description logic , multimodal logic , autoepistemic logic , paleontology , biology
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