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Embedding matrix a ? R D×d with d e ? d D, entries of x ? [?1, 1] D . ? N (0, ? j ): random line which takes the structure of ? ? ? a into account. Intrinsic dimensionality Meta-modeling in eigenbasis Optimization in eigenbasis Conclusions What about PLS? Output-related dimension reduction, 2013. ,
, Linear method Only n eigenshapes (shape reconstruction error)
Y m (·) have to share the same input space (? ? ? space) for the maximization of EI's multi-objective pendant ,