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3 papers
Learning Weakly Convex Sets in Metric Spaces
Eike Stadtländer, Tamás Horváth, Stefan Wrobel
One of the central problems studied in the theory of machine learning is the question of whether, for a given class of hypotheses, it is possible to efficiently find a {consistent}…
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…
Noise-based information processing: Noise-based logic and computing: what do we have so far?
Laszlo B. Kish, Sunil Khatri, Sergey Bezrukov +3
We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph…