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Most people have a strong intuition that some animals, such as cats and dogs, are conscious, while others, such as insects, are not; but the sources of this intuition are not obvious, and are often based on personal interactions with pets and other animals they have observed.
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But this intuition is absolutely wrong.
This intuition is simple, easy to grasp, and widely accepted.
This intuition is the same in music as it is in biology.
The singular significance of his book is that it proves "scientifically" that this intuition is correct.
We show in a least-squares linear regression setting that this intuition is wrong.
This intuition is based not only on experience with physical systems, but also on simulation of continuous signal mathematical models.
So far, this intuition is based on perturbations to external stimuli such as the images to be classified.
However, this intuition is misleading for the high-dimensional spaces that we typically encounter in text applications.
But the Birthplace study, upon which the new Nice guidelines are based, says quite clearly that this intuition is supported by evidence.
This intuition is operationalized by a measure commonly used to evaluate unsupervised machine-learning models, which we call the "cluster strength score 34,35 (see Methods).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com