Utilizing the random forest algorithm and interpretable machine learning to inform post-stratification of commercial fisheries data

Federal groundfish fisheries off Alaska are managed based on near-real time estimates of catch generated using a combination of data from the North Pacific Groundfish and Pacific Halibut Observer Program, which deploys observers and Electronic Monitoring systems into the fisheries to sample catch, a...

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Vydané v:	Fisheries research Ročník 281; s. 107253
Hlavní autori:	Gasper, Jason, Cahalan, Jennifer
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2025
Predmet:	Alaska Alaska Fisheries algorithms Catch Estimation demersal fish fisheries Hippoglossus stenolepis Machine Learning management systems Post-Stratification Random Forests species variance Alaska Post-Stratification Random Forests Catch Estimation Alaska Fisheries Machine Learning
ISSN:	0165-7836
On-line prístup:	Získať plný text
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