Semi-supervised learning (SSL) has emerged as a pivotal approach in addressing the widespread challenge of limited labelled data in numerous real-world applications. By combining a small set of ...

Purpose: Is used to train the machine learning model. Function: Think of it as the study material for the model. It provides examples and patterns for the model to learn from and build its internal ...

Overview of the proposed Dual-supervised Asymmetric Co-training (DAC) framework for the cross-domain semi-supervised domain generalization (CD-SSDG) task. This task is closely related to Domain ...

What Is Semi-Supervised Learning? Semi-supervised learning is a powerful machine learning technique that combines the strengths of supervised and unsupervised learning. It leverages a small amount of ...