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洞見 - Safe Active Learning with Gaussian Processes
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
The authors propose novel methods to efficiently compute safety bounds for Gaussian processes in active learning, reducing computational costs while maintaining accuracy and exploration speed.
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
The authors propose novel methods to efficiently compute safety bounds for Gaussian processes in active learning, reducing computational costs while maintaining accuracy and exploration speed.