ASVM

ASVM, or Adaptive Support Vector Machine, is an advanced version of the Support Vector Machine (SVM) algorithm used in machine learning and data classification. It intelligently adapts to complex data patterns by adjusting its parameters and support vectors, allowing it to improve accuracy in distinguishing between different categories. ASVM excels in situations where data is noisy or overlapping, making it useful in fields like image recognition and medical diagnosis. By optimizing the decision boundaries, ASVM can more effectively classify new data based on the learned information from previous examples.