https://openaccess.city.ac.uk/id/eprint/19149/
City Research Online - Adaptive Feature Ranking for Unsupervised Transfer Learning
research onlinefeature rankingtransfer learningcityadaptive
https://czasopisma.uni.lodz.pl/foe/article/view/28820
Some Remarks on Feature Ranking Based Wrappers | Acta Universitatis Lodziensis. Folia Oeconomica
feature rankingremarksbasedwrappersacta
https://researchportal.murdoch.edu.au/esploro/outputs/bookChapter/A-feature-ranking-algorithm-for-fuzzy/991005545100307891?institution=61MUN_INST&skipUsageReporting=true&recordUsage=false
A feature ranking algorithm for fuzzy modeling problems - Murdoch University
This paper presents a feature ranking method adapted to fuzzy modelling with output from a continuous range. Existing feature selection/ranking techniques are...
feature rankingmurdoch universityalgorithmfuzzymodeling
https://www.seattleweekly.com/2010/09/09/in-a-cnbc-com-feature-ranking-the-top-14-cities-for-happy-hour/
In a CNBC.com feature ranking the top 14 cities for happy hour | Seattle Weekly
Sep 9, 2010 - In a CNBC.com feature ranking the top 14 cities for happy hour in the country, Seattle came in fourth -beating out the likes of Austin, Philadelphia, and even...
in afeature rankingthe tophappy hourseattle weekly
https://research.buaa.edu.cn/zh/publications/hodgerankweight-an-integration-algorithm-for-feature-ranking-base/
HodgeRankWeight: An Integration Algorithm for Feature Ranking Based on Weight Quantization -...
feature rankingbased onintegrationalgorithmweight
https://nl.mathworks.com/help/predmaint/ug/perform-prognostic-feature-ranking-for-a-degrading-system.html
Perform Prognostic Feature Ranking for a Degrading System Using Diagnostic Feature Designer -...
This example shows how to segment data from a degrading system into frames, perform frame-based processing and feature extraction, and use prognostic ranking...
feature rankingperformsystemusingdiagnostic
https://docs.feast.dev/v0.50-branch/tutorials/tutorials-overview/driver-ranking-with-feast
Driver ranking | v0.50-branch | Feast: the Open Source Feature Store
Making a prediction using a linear regression model is a common use case in ML. This model predicts if a driver will complete a trip based on features ingested...
the openfeature storedriverrankingbranch