library(ggvenn) a <- list(A = 1:5, B = 4:9, C = 3:7, D = 1:20, E = 15:19) ggvenn(a, c("A", "B")) # draw two-set venn ggvenn(a, c("A", "B", "C")) # draw three-set venn ...
Abstract: This study examines the issue of interpretability in fault diagnosis for rolling bearings using a symbolic learning technique. We propose the adoption of weighted signal temporal logic (wSTL ...
Abstract: Neuro-Symbolic Artificial Intelligence (NeSyAI) is a paradigm that combines neural networks with symbolic reasoning, building upon foundations laid in the 1990s and early 2000s, yet gaining ...
Euler and Venn diagrams are used to visualise the relationships between sets. Both typically employ circles to represent sets, and areas where two circles overlap represent subsets common to both ...
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