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stat.ML2023★ 1 cited
Separability and Scatteredness (S&S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection
Mahdi Shamsi, Soosan Beheshti
Support Vector Machine (SVM) is a robust machine learning algorithm with broad applications in classification, regression, and outlier detection. SVM requires tuning the regulariza…
stat.ML2023
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models
Soosan Beheshti, Mahdi Shamsi
The goal of a learning algorithm is to receive a training data set as input and provide a hypothesis that can generalize to all possible data points from a domain set. The hypothes…