Probabilistic graphical models. Principles and applications

DOI10.1007/978-1-4471-6699-3zbMath1325.68007OpenAlexW2479936045MaRDI QIDQ5899468

Luis Enrique Sucar

Publication date: 27 October 2015

Published in: Advances in Computer Vision and Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4471-6699-3

Mathematics Subject Classification ID

Bayesian inference (62F15) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Reasoning under uncertainty in the context of artificial intelligence (68T37)

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Uses Software

• PGM_PyLib

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