GitHub / lias-laboratory / spatial-selectivity-estimation-ext
Framework for spatial selectivity estimation using machine learning and optimizer feedback. Addresses both RCC filters and distance-based filters by transforming estimation into regression task. Compares neural networks, tree-based models and instance-based approaches against traditional RTree and histogram methods across 14 spatial datasets.
étoiles: 0
forks: 0
issues ouvertes: 0
licence: mit
langage: Jupyter Notebook
taille: 8,62 Mo
dépendances analysées: En attente
date de création: il y a 4 mois
date de mise à jour: il y a environ 2 mois
enregistré: il y a environ 2 mois
dernière synchronisation: il y a 6 jours
Sujets: machine-learning, optimizer-feedback, selectivity-estimation, spatial-filters