no code implementations • 29 Nov 2023 • Manal Helal, Fanrong Kong, Sharon C. A. Chen, Michael Bain, Richard Christen, Vitali Sintchenko
The most representative 16S rRNA sequences for individual Nocardia species have been identified as 'centroids' in respective clusters from which the distances to all other sequences were minimized; 110 16S rRNA gene sequences with identifications recorded only at the genus level were classified using machine learning methods.
no code implementations • 4 Jan 2023 • Ashwin Srinivasan, Michael Bain, A. Baskar, Enrico Coiera
In this paper we view the interaction between humans and ML systems within the broader context of interaction between agents capable of learning and explanation.
no code implementations • 5 May 2022 • Ashwin Srinivasan, Michael Bain, Enrico Coiera
We propose operational principles -- we call them Intelligibility Axioms -- to guide the design of a collaborative decision-support system.
no code implementations • 2 Jul 2018 • Ashwin Srinivasan, Lovekesh Vig, Michael Bain
We investigate the use of a Bayes-like approach to identify logical proxies for local predictions of a DRM.
4 code implementations • 28 Sep 2017 • Xinqi Zhu, Michael Bain
In this way we show that CNN based models can be forced to learn successively coarse to fine concepts in the internal layers at the output stage, and that hierarchical prior knowledge can be adopted to boost CNN models' classification performance.
no code implementations • 18 Sep 2017 • Bradford Heap, Michael Bain, Wayne Wobcke, Alfred Krzywicki, Susanne Schmeidl
The bag-of-words model is a standard representation of text for many linear classifier learners.