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Philipp Hennig
Stauffenbergstrasse 27
Tuebingen, Tuebingen, 72074
DE
This site collects and presents results from an ongoing research effort to construct optimization algorithms from a probabilistic basis. Extremum of a complicated, unknown function; but just finding one. Local minimum of a relatively simple but very high-dimensional function can also be a formidable challenge. Probabilistic optimization algorithms can . Make efficient use of information. Both by choosing evaluation points efficiently, and by making efficient.
This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications. If you would like to contribute to this site, please contact Daniel Roy.
DERECHOS RESERVADOS 2016 Aviso de Privacidad.
8220;Simple explanations are better than complex explanations.
Ghid de teoria probabilitatilor si aplicatii. Society for Industrial and Applied Mathematics. Care in vorbirea curenta reprezinta un anumit grad de incredere subiectiv in producerea unui eveniment, se afla un intreg ansamblu conceptual dezvoltat de teoria probabilitat.