Lazy Learning Meets the Recursive Least Squares Algorithm

  title={Lazy Learning Meets the Recursive Least Squares Algorithm},
  author={Mauro Birattari and Gianluca Bontempi and Hugues Bersini},
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered relevant according to a distance measure. In this paper we propose a data-driven method to select on a query-by-query basis the optimal number of neighbors to be considered for each prediction. As an efficient way to identify and validate local models, the recursive least squares algorithm is introduced in the context of… CONTINUE READING
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