Optimal Domain Adaptation with Fisher's Linear Discriminant for Resource-Constrained Tasks

The authors propose a model based on Fisher’s Linear Discriminant to address learning from source tasks for a limited data target task, demonstrating a bias-variance trade-off exploitation. They approximate the expected loss to find the optimal classifier.