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MACHINE LEARNING MODELS FOR PREDICTING MISSING VALUES FROM DATA SETS

发明专利审中
20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Jaydeep THIK; Chen LING

IPC 分类

G6N 3/94G6N 3/455

CPC 分类

G6N3/94G6N3/455

A computing system may include a processor and a memory having a set of instructions, which when executed by the processor, cause the computing system to execute actions. The actions include identifying an estimate of a distribution of missing block patterns, generating a noisy dataset by removing first data from an original dataset based on the estimate and training a denoising autoencoders (DAE) based on the noisy dataset.

原文(中文)

A computing system may include a processor and a memory having a set of instructions, which when executed by the processor, cause the computing system to execute actions. The actions include identifying an estimate of a distribution of missing block patterns, generating a noisy dataset by removing first data from an original dataset based on the estimate and training a denoising autoencoders (DAE) based on the noisy dataset.