Harmonia loosely praestabilitia: discovering adequate inductive strategies
Hilan Nissor Bensusan, Christophe G. Giraud-Carrier · eScholarship (California Digital Library) · 2000
Landmarking is a novel approach to inductive model selection in Machine Learning.It uses simple, barebone inductive strategies to describe tasks and induce correlations between tasks and strategies.The paper presents the technique and reports experiments showing that landmarking performs we l l i n a n umber of dierent scenarios.It also discusses the implications of landmarking to our understanding of inductive re nement.