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Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA
[article]
2012
arXiv
pre-print
An automated technique has recently been proposed to transfer learning in the hierarchical Bayesian optimization algorithm (hBOA) based on distance-based statistics. The technique enables practitioners to improve hBOA efficiency by collecting statistics from probabilistic models obtained in previous hBOA runs and using the obtained statistics to bias future hBOA runs on similar problems. The purpose of this paper is threefold: (1) test the technique on several classes of NP-complete problems,
arXiv:1203.5443v2
fatcat:j6x4vugp5zcfnf4p35cnyd3k7q