Minimally supervised learning using topological projections in self-organizing maps

[PDF] arxiv.org

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps

H Vaidya, T Desell, A Mali, A Ororbia - arXiv preprint arXiv:2402.12465, 2024 - arxiv.org
An intelligent system capable of continual learning is one that can process and extract
knowledge from potentially infinitely long streams of pattern vectors. The major challenge …
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[PDF] arxiv.org

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification

Z Lyu, P Thapa, T Desell - arXiv preprint arXiv:2402.11185, 2024 - arxiv.org
Identifying phases of flight is important in the field of general aviation, as knowing which
phase of flight data is collected from aircraft flight data recorders can aid in the more effective …
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