The area of transfer learning comprises supervised machine learning methods that cope with the issue when the training and testing data have different input feature spaces or distributions. In this work, we propose a novel transfer learning algorithm called Renewing Iterative Self-labeling Domain Adaptation (Re-ISDA). In this work, we propose a novel transfer learning algorithm called Renewing Iterative Self-labeling Domain Adaptation (Re-ISDA).
翻译:转让学习领域包括:在培训和测试数据具有不同的输入特征空间或分布时,处理问题的监管机器学习方法。在这项工作中,我们建议采用新的转移学习算法,称为“更新迭代自我标签域适应”(Re-ISDA ) 。在这项工作中,我们建议采用新的转移学习算法,称为“更新迭代自我标签域适应(Re-ISDA ) ” 。