Whereas in the case of revenge, it's about a specific person at a specific time, not as an instance of a category, but as a particular wrongdoer in eyes of the one taking vengeance.
A class of algebras along with a specified set of homomorphisms between any two of its members is an instance of a category.
According to episodic models we memorize each instance of a category [1].
Remindings may allow us to compare sequentially distant instances of a category in order to distinguish critical commonalities from irrelevant differences, generalize across events, and contrast between examples (Benjamin & Tullis, 2010).
Prior to the test the participants in the Categorization conditions were told that all of the items that they had just seen were instances of a category and that they would now see some new items, some of which belonged to the category and some did not.
Object categorization has been a challenging computational problem because it has not been clear how to handle the enormous range of image instances for a category (or, equivalently, class).
Note that the factor loadings, as reported by Conners (2001), are generally much lower, as these estimates are based on the assumption of a continuous, normal distribution of the item scores, an assumption that is obviously violated in the instance of a four-category Likert scale.
Considering the elective nature of choosing a political affiliation, we expected that political affiliation may represent an instance of a perceptually ambiguous category.
While testing, the RAs noted and coded four instances of a usability category we refer to as proxy user problems.
If we observe m instances of a GO category, we can calculate its P-value under a random model, as 1 minus the cumulative binomial probability of selecting that particular GO category with a frequency m−1, which is calculated as (6) In order to correct for multiple testing, we must multiply that probability by the number B of hypothesis we test for (Bonferroni's multiple-comparison correction).
For instance, such a category of learning rules includes the well-known actor-critic in the reinforcement learning theory [1], [20], [21], direct actor[23], melioration[16] and local matching[9].
