Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Pourmand, Saeid"'
This paper studies the geometry of binary hyperdimensional computing (HDC), a computational scheme in which data are encoded using high-dimensional binary vectors. We establish a result about the similarity structure induced by the HDC binding operat
Externí odkaz:
http://arxiv.org/abs/2404.10759
Supervised learning problems may become ill-posed when there is a lack of information, resulting in unstable and non-unique solutions. However, instead of solely relying on regularization, initializing an informative ill-posed operator is akin to pos
Externí odkaz:
http://arxiv.org/abs/2303.03894