项目描述

Complement document to generic-p0 and generic-p1 to predict serialized data.

This includes generic predictor on expectation value mediumly depends on data itself in fixed size. Also includes integrated predictor depends on p0, p1, p2.

There also exists non Lebesgue measurable based method starting on the fixed data whether which matches or not, however, this can always fail because of multiple of the prediction makes nonsense prediction even they makes a sense after all data is received condition.

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source 源代码 p2-master.zip (日期: 2022-08-06, 大小: 11.37 KB)
document Document p2-master.zip (日期: 2022-08-06, 大小: 11.37 KB)

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