Meta-interpretive learning from noisy images

DOI10.1007/s10994-018-5710-8zbMath1461.68190OpenAlexW2801900606MaRDI QIDQ1621883

Alireza Tamaddoni-Nezhad, Wang-Zhou Dai, Jing Wen, Zhi-Hua Zhou, Claude Sammut, Stephen H. Muggleton

Publication date: 12 November 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-018-5710-8

zbMATH Keywords

inductive logic programmingRoboCuphigh-level visionmeta-interpretive learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Logic programming (68N17) Machine vision and scene understanding (68T45) Artificial intelligence for robotics (68T40)

Related Items (4)

Inductive logic programming at 30 ⋮ Learning efficient logic programs ⋮ Making sense of raw input ⋮ Top program construction and reduction for polynomial time meta-interpretive learning

Uses Software

• LIBSVM
• OpenCV
• Vlfeat
• SIFT
• SWI-Prolog
• ImageNet
• Metagol
• AlexNet

Cites Work

• ILP turns 20. Biography and future challenges
• Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
• Meta-interpretive learning: application to grammatical inference
• Interpreting line drawings as three-dimensional surfaces
• SWI-Prolog
• MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement
• Shape-from-shading: a survey
• Unnamed Item
• Unnamed Item

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