Pages that link to "Item:Q513637"

The following pages link to Support vector machines based on convex risk functions and general norms (Q513637):

Displaying 16 items.

• Two pairs of families of polyhedral norms versus \(\ell _p\)-norms: proximity and applications in optimization (Q263209) (← links)
• Value-at-risk support vector machine: stability to outliers (Q405683) (← links)
• Support vector machines based on convex risk functions and general norms (Q513637) (← links)
• Shape constrained risk-neutral density estimation by support vector regression (Q1671251) (← links)
• A survey of decision making and optimization under uncertainty (Q2241216) (← links)
• Interaction between financial risk measures and machine learning methods (Q2355190) (← links)
• Dual unification of bi-class support vector machine formulations (Q2495926) (← links)
• New method for solving Ivanov regularization-based support vector machine learning (Q2669598) (← links)
• Robust and distributionally robust optimization models for linear support vector machine (Q2676336) (← links)
• Formulations of support vector machines: A note from an optimization point of view (Q2708444) (← links)
• Computationally tractable counterparts of distributionally robust constraints on risk measures (Q2832107) (← links)
• (Q3546379) (← links)
• Arbitrary Norm Support Vector Machines (Q3612134) (← links)
• (Q4422152) (← links)
• Zeroth-Order Stochastic Compositional Algorithms for Risk-Aware Learning (Q5071109) (← links)
• A Unified Classification Model Based on Robust Optimization (Q5327189) (← links)