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LEARNING APPARATUS AND METHOD FOR BIDIRECTIONAL LEARNING OF PREDICTIVE MODEL BASED ON DATA SEQUENCE

机译:基于数据序列的预测模型有向学习的学习装置和方法

摘要

A computer-implemented method and an apparatus are provided for learning a first model. The method includes generating a second model based on the first model. The first model is configured to perform a learning process based on sequentially inputting each of a plurality of pieces of input data that include a plurality of input values and that are from a first input data sequence. The second model is configured to learn a first learning target parameter included in the first model based on inputting, in an order differing from an order in the first model, each of a plurality of pieces of input data that include a plurality of input values and are from a second input data sequence. The method further includes performing a learning process using both the first model and the second model. The method also includes storing the first model that has been learned.
机译:提供了一种用于学习第一模型的计算机实现的方法和设备。该方法包括基于第一模型生成第二模型。第一模型被配置为基于顺序输入包括第一输入数据序列的包括多个输入值的多个输入数据中的每一个来执行学习过程。第二模型被配置为基于以与第一模型中的顺序不同的顺序输入包括多个输入值的多个输入数据中的每一个来学习第一模型中包括的第一学习目标参数。来自第二个输入数据序列。该方法还包括使用第一模型和第二模型两者来执行学习过程。该方法还包括存储已经学习的第一模型。

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