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IEEE/ICACT20240372 Slide.07        [Big Slide]	Oral Presentation
	Fundamental of multiple instance learning Multiple Instance Learning (MIL) is gaining interest from industry and academia because it fits a variety of problems and allows us to leverage weakly labeled data Multiple Instance Learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets called bags, and a label is provided for the entire bag In MIL, training data is organized into bags with instances. An instance can be either positive (belonging to a specific target class) or negative (not belonging to the target class).

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