… achieved rapid development, threshold method is still an … a robust threshold method is
proposed to calibrate the parameters to obtain the best accuracy. The proposed threshold method …

… We study the problem of Robust Least Squares Regression (RLSR) where several response
… forming robust regression at scale. Key to our algorithms is the Hard Thresholding Operator …

… probabilistic calibration with methods from the field of robust … of robustness concepts can
significantly improve calibration … robustness in the design of probabilistic calibration methods. …

… In addition, the method proposed in this paper incorporates the calibration process to find
the optimum parameter N and W to achieve the optimum segmentation accuracy. In [26]–[28], …

… Future work could focus on developing calibration procedures that enable forecasters to
be robust to such distribution shifts. In addition, we specifically focus on binary-action …

… We study the problem of robust linear regression with … We also extend our estimator to
robust sparse linear regression … removal via hard thresholding in which the threshold is chosen …

… new robust and fully automatic method for calibration of three-dimensional (3D) freehand
ultrasound called Confhusius (CalibratiON … position of each wire is segmented by thresholding. …

… robust test error, extended to our confidence-thresholded … We demonstrate improved
robustness against unseen attacks … robustness using confidencethresholded (robust) test error. …

… -converter (ADC) without gain calibration, operating across a … , threshold voltage, and
drain resistance across temperature, we propose a unity-gain-frequency-aware bias calibration …

… Local thresholding Having computed the gradient, we generate a … thresholding in a (2τ
+1)×(2τ + 1) window around the current pixel. In all our experiments, we have set the thresholding …