Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
A problem-oriented framework for domain adaptation is developed through a systematic, iterative development and evaluation methodology, refined through three evaluation episodes, that provides clear, actionable guidance for researchers and practitioners seeking to employ domain adaptation techniques, even without speci...