论文标题
精度收敛场预测指标
Accuracy Convergent Field Predictors
论文作者
论文摘要
描述了几种预测算法。突出显示的是通过与培训数据实例相关的超级群字段来进行预测的变体。它们通过分类，连续和混合数据无缝运行。还讨论了预测准确性收敛作为评估预测算法的标准。描述了如何调整算法以使其获得预测精度收敛的方法。
Several predictive algorithms are described. Highlighted are variants that make predictions by superposing fields associated to the training data instances. They operate seamlessly with categorical, continuous, and mixed data. Predictive accuracy convergence is also discussed as a criteria for evaluating predictive algorithms. Methods are described on how to adapt algorithms in order to make them achieve predictive accuracy convergence.
