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IEEE/ICACT20210173 Slide.14        [Big Slide]	Oral Presentation
	Next, the ensemble learning. This method is used to generate a learning model by fusing multiple models. Multiple models are trained, and finally, the position is estimated by the majority voting on each model's output. In this study, the collected data will be divided into six parts and used as training data. Learning is performed by shaping and labeling each dataset to create six learning devices using the six sets of divided data. This figure is a schematic diagram of ensemble learning.

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