Limitations of Assessing Active Learning Performance at Runtime

29 Jan 2019Daniel KottkeJim SchellingerDenis HuseljicBernhard Sick

Classification algorithms aim to predict an unknown label (e.g., a quality class) for a new instance (e.g., a product). Therefore, training samples (instances and labels) are used to deduct classification hypotheses... (read more)

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