Feature Selection for Multiclass Discrimination via Mixed-Integer Linear Programming
نویسندگان
چکیده
We reformulate branch-and-bound feature selection employing L1 or particular Lp metrics, as mixed-integer linear programming (MILP) problems, affording convenience of widely available MILP solvers. These formulations offer direct influence over individual pairwise interclass margins, which is useful for feature selection in multiclass settings.
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ورودعنوان ژورنال:
- IEEE Trans. Pattern Anal. Mach. Intell.
دوره 25 شماره
صفحات -
تاریخ انتشار 2003