High breakdown point estimators in regression are robust against gross contamination in the regressors and also in the errors; the least median of squares (LMS) estimator has the additional property ...

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...