Inductio Ex Machina

Last week I saw an interesting PhD monitoring presentation by Justin Bedo on the counter-intuitive phenomenon of “anti-learning”. For certain datasets, learning a classifier from a small number of samples and inverting its predictions performs much better than the original classifier. Most of the theoretical results Justin mentioned about are discussed in a recent paper and [...]