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Active Learning—Methodology

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Active Learning to Minimize the Possible Risk of Future Epidemics

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

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Abstract

Since the beginning of the computer era, researchers have been curious whether they can be made to learn. This led to the development of various algorithms and programs, which eventually got better with time, inevitably advancing to human-level performances.

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Notes

  1. 1.

    Expert’s work is simulated in the code without employing a real Expert.

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Authors and Affiliations

  1. Applied AI Research Lab, Department of Computer Science, University of South Dakota, Vermillion, USA

    KC Santosh & Suprim Nakarmi

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  1. KC Santosh
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  2. Suprim Nakarmi
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Correspondence to KC Santosh .

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Santosh, K., Nakarmi, S. (2023). Active Learning—Methodology. In: Active Learning to Minimize the Possible Risk of Future Epidemics. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-99-7442-9_4

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