12 citations · 12 across the 3 of their papers we have counts for
4 papers
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
Franz J. Király, Markus Löning, Anthony Blaom +2
Machine learning (ML) and AI toolboxes such as scikit-learn or Weka are workhorses of contemporary data scientific practice -- their central role being enabled by usable yet powerf…
Flexible model composition in machine learning and its implementation in MLJ
Anthony D. Blaom, Sebastian J. Vollmer
A graph-based protocol called `learning networks' which combine assorted machine learning models into meta-models is described. Learning networks are shown to overcome several limi…
MLJ: A Julia package for composable machine learning
Anthony D. Blaom, Franz Kiraly, Thibaut Lienart +3
MLJ (Machine Learing in Julia) is an open source software package providing a common interface for interacting with machine learning models written in Julia and other languages. It…
A geometer's view of the the Cramér-Rao bound on estimator variance
Anthony D. Blaom
The classical Cramér-Rao inequality gives a lower bound for the variance of a unbiased estimator of an unknown parameter, in some statistical model of a random process. In this not…