转导推理

从本质上看，它避开了从归纳到演绎的传统过程，实现了高效的从训练样本到预报样本的转导推理（transductiveinference），大大简化了通常的分类和回归等问题。

In essence , SVM smartly evades the traditional inference process from induction to deduction . Instead , it employs transductive inference from training sample to predicting sample , which greatly simplifies classification and regression problems .

通过对转导推理理论的分析，设计了一种基于转导推理的预测算法。

Through the analysis of transductive inference theory , the paper designs a transductive inference based prediction algorithm .

设计了一种基于转导推理的预测算法，基于有限的历史测试数据，对系统的性能进行预测，并取得了接近实测的预测效果。

A transductive inference based algorithm is designed to predict system performance based on limited historical testing data .

针对上述三个挑战，我们引入了基于转导推理和随机性检验的置信预测方法来解决这些问题。

Faced to these challenges , we have introduced a method which uses the transductive inference and the randomness test of i.i.d. sequences to develop our solution .