E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.007
Abstract: Abstract In this paper, a cooperative-competitive multi-objective evolutionary fuzzy system called E2PAMEA is presented for the extraction of emerging patterns in big data environments. E2PAMEA follows an adaptive schema to automatically employ different genetic operators… read more here.
Keywords: emerging patterns; big data; patterns big; environments e2pamea ... See more keywords
Exploring structure–property relationships in sparse data environments using mixture-of-experts models
Sign Up to like & getrecommendations! Published in 2024 at "MRS Bulletin"
DOI: 10.1557/s43577-024-00805-7
Abstract: The mixture-of-experts (MoE) framework, which enables collaborative utilization of multiple models specialized in distinct tasks toward a new task, is especially useful for materials science problems involving sparse data where simultaneous learning from multiple complementary… read more here.
Keywords: chemistry; mixture experts; structure; data environments ... See more keywords