2 ms·
There's a lot of space to be explored at the intersection of ml and hypercomplex numbers. There's a Clifford svm that unlike a regular sam which learns a hyperp
by adamnemecek 9y ago
There's a lot of space to be explored at the intersection of ml and hypercomplex numbers. There's a Clifford svm that unlike a regular sam which learns a hyperplane, learns any manifold.
- dbranes 9y agoA stupid person would respond to this comment with "Look into work by Bayro-Corrochano. I can't find a public link."
- adamnemecek 9y agoLook into work by Bayro-Corrochano. I can't find a public link.
- mike_n 9y agohttps://pdfs.semanticscholar.org/c3b3/9a378e6f805d6cae5b05f59cbcd734b95b60.pdf https://pdfs.semanticscholar.org/c3b3/9a378e6f805d6cae5b05f5...
- MrQuincle 9y agoThat's also what I thought. This is a dissertation on multilayer perceptrons using backprop over Clifford type neurons by Sven Buchholz: https://www.informatik.uni-kiel.de/inf/Sommer/doc/Dissertationen/Sven_Buchholz/diss.pdf https://www.informatik.uni-kiel.de/inf/Sommer/doc/Dissertati...