Revision as of 12:18, 9 September 2024 edit Ahbea (talk \| contribs) 23 edits Remove straggling end of (presumably) old sentence. ← Previous edit		Revision as of 13:19, 30 October 2024 edit undo John of Reading (talk \| contribs) Autopatrolled, Extended confirmed users, Pending changes reviewers 787,577 edits m →Reasoning: Typo fixing, replaced: valus → values Tag: AWB Next edit →
Line 67: Hypervectors can also be used for reasoning. Raven's progressive matrices presents images of objects in a grid. One position in the grid is blank. The test is to choose from candidate images the one that best fits.<ref name=":0" /> A dictionary of hypervectors represents individual objects. Each hypervector represents an object concept with its attributes. For each test image a neural network generates a binary hypervector (~~valus~~values are +1 or −1) that is as close as possible to some set of dictionary hypervectors. The generated hypervector thus describes all the objects and their attributes in the image.<ref name=":0" /> Another algorithm creates probability distributions for the number of objects in each image and their characteristics. These probability distributions describe the likely characteristics of both the context and candidate images. They too are transformed into hypervectors, then algebra predicts the most likely candidate image to fill the slot.<ref name=":0" />

Hyperdimensional computing: Difference between revisions