Peng Qin

MCTS-Plan: A History-Aware Adaptive Search Framework for Hierarchical AutoML in Multi-Label Classification

Automated machine learning for multi-label classification, referred to as multi-label AutoML, is challenging because a candidate pipeline must jointly select label-transformation strategies, multi-label learners, single-label learners, feature engineering operators, preprocessing operators, and their conditional hyperp...