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The connection of generalization to specialization (or particularization) is reflected in the contrasting words hypernym and hyponym.A hypernym as a generic stands for a class or group of equally ranked items, such as the term tree which stands for equally ranked items such as peach and oak, and the term ship which stands for equally ranked items such as cruiser and steamer.
Just as artificial intelligences learn to distinguish between different categories by applying past learning to novel situations, humans and animals generalize previously learned properties and patterns onto new situations, thus connecting the novel experience to past experiences that are similar in one or more ways. This creates a pattern of ...
Hasty generalization is an informal fallacy of faulty generalization, which involves reaching an inductive generalization based on insufficient evidence [3] —essentially making a rushed conclusion without considering all of the variables or enough evidence.
"A psychological space is established for any set of stimuli by determining metric distances between the stimuli such that the probability that a response learned to any stimulus will generalize to any other is an invariant [monotonic function] of the distance between them" [2]
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External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.
Going long vs. going short. The distinction between going long and going short is brief but important: Being long a stock means that you own it and will profit if the stock rises.
Although the polynomial function is a perfect fit, the linear function can be expected to generalize better: If the two functions were used to extrapolate beyond the fitted data, the linear function should make better predictions. Figure 3. The blue dashed line represents an underfitted model. A straight line can never fit a parabola.