This paper uses a formal treatment of retrieval-based models to characterize their performance via a novel statistical perspective.

They study two different perspective method

• Analyzing local learning framework
• Learning global model using kernel methods

Powerpoint for this talk

Reference Paper

• Convexity, Classification, and Risk Bounds