Novel Bayesian Framework Addresses Domain Adaptation Challenges

This ArXiv paper proposes a Hierarchical Bayesian Framework for multisource domain adaptation, a common challenge in machine learning. This approach likely offers improved performance in scenarios where data distributions differ between source and target domains.

• •Addresses the problem of domain adaptation.
• •Utilizes a Hierarchical Bayesian Framework.
• •Focuses on multisource data scenarios.