Open AccessCRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
Author(s) -
Wissam Siblini,
Pascale Kuntz,
Frank Meyer
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - computer science , partition (number theory) , cluster analysis , tree (set theory) , exploit , random forest , context (archaeology) , machine learning , data mining , artificial intelligence , theoretical computer science , mathematics , mathematical analysis , paleontology , computer security , combinatorics , biology