3 citations · 11 across the 9 of their papers we have counts for
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cs.LG2020★ 2 cited
Learning Syllogism with Euler Neural-Networks
Tiansi Dong, Chengjiang Li, Christian Bauckhage +3
Traditional neural networks represent everything as a vector, and are able to approximate a subset of logical reasoning to a certain degree. As basic logic relations are better rep…
cs.AI2020
Maximal Closed Set and Half-Space Separations in Finite Closure Systems
Florian Seiffarth, Tamas Horvath, Stefan Wrobel
Several concept learning problems can be regarded as special cases of half-space separation in abstract closure systems over finite ground sets. For the typical scenario that the c…