@seohong_park@svlevine You may like to read up on some older literature by Duin & Pekalska, they did tonnes of work on the “dissimilarity representation”.
e.g. https://t.co/v9qyTynyZO
@OpenAI Not quite what the headline claims? GPT5.2 was a massive help in “simplifying expressions”? And a “scaffolded model” reasoned through the problem? So the scaffolding was contamination, seeding what researchers suspected the answer would be. It’s amazing, but not a true headline…
Very pleased to hit 2^7 citations for a work I consider the most satisfying (and long awaited) of my career. We solved the “ensemble diversity” question.
Look forward to seeing 2^8, 2^9….
https://t.co/IDk6ktSHzO
@chrisoffner3d I didn’t say it was done yet - the transition from academia to industry driving things took 15-20 years in each of those cases. It’s arguable the ML transition began ~2013, so we’re perhaps halfway. I know this from my colleagues in each of those fields, who lived through it.
@MushtaqBilalPhD@TheParableMan Well ok - it’s true in Denmark, but not true in the UK, or several other places that you put under the umbrella of Europe. It depends.
@MushtaqBilalPhD@TheParableMan That’s not true. It’s not uncommon to see someone in the UK starting a PhD after 3 years of just an undergraduate degree. Entirely depends on your grades and experience.
@pfau True in hindsight, but the bijection between ExpFams and Bregmans wasn’t known til Bannerjee (2006), and your paper made it clear to us that the central prediction is a left Bregman centroid, with all sorts of beautiful properties.