该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
“母体”与“样本”之所以有两种表达公式，是因为一个是有偏估计，另一个则不是。
The reasons there are two main expressions for population and sample" is that one is biased estimator and the other is not."
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