A Newton method solves the proposed L0/1-SQSSVM model with proven local quadratic convergence and reports higher accuracy plus lower runtime than prior methods on artificial and benchmark data.
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
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Newton Method for Soft Quadratic Surface Support Vector Machine with 0-1 Loss Function
A Newton method solves the proposed L0/1-SQSSVM model with proven local quadratic convergence and reports higher accuracy plus lower runtime than prior methods on artificial and benchmark data.