Surrogate Model

Cross-source consensus on Surrogate Model from 1 sources and 5 claims.

1 sources · 5 claims

How it works

DOPP fits a local linear surrogate to approximate the composite PPA score from engineered features. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
The surrogate top-1 prediction was usually too strict, but top-10 predictions often contained strong candidates. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
The method uses a linear surrogate because the candidate set is finite and local to one search run, despite nonlinear true PPA. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
As candidate sets become larger and more diverse, the fixed feature map becomes less expressive and surrogate ranking degrades. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
The feature map uses fewer dimensions than candidates to preserve budget efficiency, accepting some misspecification. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models