Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest

no code implementations • 9 Nov 2016 • Azadeh S. Mozafari, David Vazquez, Mansour Jamzad, Antonio M. Lopez

Random Forest (RF) is a successful paradigm for learning classifiers due to its ability to learn from large feature spaces and seamlessly integrate multi-class classification, as well as the achieved accuracy and processing efficiency.

Domain Adaptation General Classification +4