6. prosince 2022
Řečník · 0 sledujících
Řečník · 0 sledujících
Classification is one of the most important problems in machine learning and the nature of it is concept cognition. So far, dozens of different classifiers have been designed. Although their working mechanisms vary widely, few of them fully consider concept cognition. In this paper, a new learning machine, fuzzy learning machine (FLM), is proposed from the perspective of concept cognition. Inspired by cognitive science, its working mechanism is of strong interpretability. At the same time, FLM roots in set theory and fuzzy set theory, so FLM has a solid mathematical foundation. The systematic experimental results on a large number of data sets show that FLM can achieve excellent performance, even with the simple implementation.Classification is one of the most important problems in machine learning and the nature of it is concept cognition. So far, dozens of different classifiers have been designed. Although their working mechanisms vary widely, few of them fully consider concept cognition. In this paper, a new learning machine, fuzzy learning machine (FLM), is proposed from the perspective of concept cognition. Inspired by cognitive science, its working mechanism is of strong interpretability. At the same time, FLM r…
Účet · 954 sledujících
Profesionální natáčení a streamování po celém světě.
Prezentace na podobné téma, kategorii nebo přednášejícího
Peter Stone, …
Pro uložení prezentace do věčného trezoru hlasovalo 0 diváků, což je 0.0 %
Robert Hu, …
Pro uložení prezentace do věčného trezoru hlasovalo 0 diváků, což je 0.0 %
Lean Wang, …
Pro uložení prezentace do věčného trezoru hlasovalo 0 diváků, což je 0.0 %
Guy Aridor, …
Pro uložení prezentace do věčného trezoru hlasovalo 0 diváků, což je 0.0 %
Saket Sharma, …
Pro uložení prezentace do věčného trezoru hlasovalo 0 diváků, což je 0.0 %
Yuanhao Cai, …
Pro uložení prezentace do věčného trezoru hlasovalo 0 diváků, což je 0.0 %