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It’s always continuous. We get better similarity measurements with floating points.
by KasianFranks 8y ago
It’s always continuous. We get better similarity measurements with floating points.
- kevin_thibedeau 8y agoFloating point numbers are not continuous.
- hderms 8y agoYeah, that is important to recognize, but floating point numbers could obviously sample continuous measurements with less loss than integers.
- yorwba 8y agoOnly if the measurements span several orders of magnitude and you want to keep the relative error low. Otherwise you'd be better off with fixed-point numbers, which are spread out more evenly (about half of the IEEE floats are less than 1 in magnitude). And if you don't limit yourself to linear mappings, you can probably do even better with a non-uniform integer encoding.
- psyc 8y agoOnly on the human-readable level, which, when your brain is as big as mine is, doesn’t even like matter.
- KasianFranks 8y ago0 or 1 for discrete values when it comes to pattern recognition in vector similarity comparisons. Ask the guys that developed AutoClass at JPL to identify clusters of stars.
- raverbashing 8y agoContinuous, but if digital systems are limited by bit count precision, analog systems are limited by SNR, distortions and "inertia". How the brain deals with it is the interesting part (hence why our "adversarial examples" are different from Artificial Neural Network ones)