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Taking the Human Out of the Loop: A Review of Bayesian Optimization
2016
Proceedings of the IEEE
Big data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such systems involves many distributed design choices. The end products (e.g., recommendation systems, medical analysis tools, real-time game engines, speech recognizers) thus involves many tunable configuration parameters. These parameters are often specified and hard-coded into the
doi:10.1109/jproc.2015.2494218
fatcat:dcdmezhogrd45ippmdaslddlxa