ML-QuantSubscribe

SSRNML & AI Methods

Data Filtering

The review assesses the efficiency of machine learning algorithms in data filtering in fog, edge, and IoT environments, stressing the importance of data classification and the speed increase by eliminating false and noisy data.

Featured in No. 59 on 31 Jul 2024 · 4 days after release

Released
27 Jul 2024
First featured
No. 59 · 31 Jul 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4907901

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page