计算预测量的有效方法

2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Pub Date : 2017-09-01 DOI:10.1109/SIBIRCON.2017.8109859

A. Rakitskiy

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引用次数: 2

摘要

时间序列的预测是信息科学(例如人工智能的发展)中最重要的科学领域之一。最困难的任务之一是如何减少建立预测的时间。本文提出了一种计算通用编码预测量的有效方法。这种方法允许计算Krichevsky预测器和具有线性复杂性的类似预测器。

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The efficient approach of calculating the predictors

The prediction of time series is one of the most important scientific fields in information sciences (for example, in the development of AI). One of the most difficult tasks is how to reduce the time of building a prediction. In this paper the efficient method of calculating universal-coding-based predictors is presented. This approach allows to calculate the Krichevsky predictor and similar ones with linear complexity.

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2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

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