iFuzz-Meta: an interpretable fuzzy rule-based learning framework bridging top-down and bottom-up knowledge integration
Read the original at arxiv.org→arXiv:2608.14646v1 Announce Type: new Abstract: Interpretable representation learning remains a key challenge in modern neural computation, particularly when models are expected not only to perform but also to...
Original headline: "iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration"
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- Aug 18, 04:00 UTC arXiv cs.LG lead source iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration