The core algorithm is the generation and selection based on integer linear programming ( ILP ).

该系统的核心算法是基于整数规划的“生成与选择”方法.

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This paper describes a methodology based on ILP for upgrading na ? ve Bayesian classifiers to first - order logic.

该文提出形成朴素贝叶斯分类器的一阶扩展的一般方法.

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