JD Tech Talk

Jul 6, 2020 · Artificial Intelligence

Meta‑Knowledge Transfer for Automated Machine Learning: System Architecture and Methodology

This article proposes a meta‑knowledge transfer framework for AutoML systems, detailing a four‑layer architecture, methods for collecting and updating structured model meta‑knowledge, and strategies that use this knowledge to guide hyper‑parameter search and early‑stop training, thereby improving efficiency and reducing resource consumption.