Support Vector Machine, Semi Supervised Learning, Machine Learning, Data Science, Artificial Intelligence.
classes effectively. Key Features of Semi-Supervised Support Vector Machines 1. Loss Function Incorporating Labeled and Unlabeled Data S3VMs typically use a modified loss function that accounts for both labeled and unlabeled samples. The loss function penalizes misclassifications on labeled data