160 citations · 173 across the 5 of their papers we have counts for
3 papers · 1 filter
River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8
River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performan…
Selectivity correction with online machine learning
Max Halford, Philippe Saint-Pierre, Franck Morvan
Computer systems are full of heuristic rules which drive the decisions they make. These rules of thumb are designed to work well on average, but ignore specific information about t…
Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks
Max Halford, Philippe Saint-Pierre, Franck Morvan
Relational query optimisers rely on cost models to choose between different query execution plans. Selectivity estimates are known to be a crucial input to the cost model. In pract…