If a set of N stimuli that bear no resemblance to each other all become related to each other, they are acting as members of an equivalence class
(Fields & Verhave, 1987; Sidman, 1994; Sidman & Tailby, 1982).
These three properties document the formation of an equivalence class
among stimuli, A, B, and C (Sidman 1994).
formation in language-able and language-disabled children.
Next, we discuss two important classes of SRCTs that will form special representatives of each equivalence class
Similarity attack can occur when equivalence class
contains distinct but semantically similar values for sensitive attribute.
Without additional training or explicit reinforcement, the subject may derive other relations among the stimuli; therefore the stimuli are said to be members of an equivalence class
, and they show the properties of reflexivity, symmetry and transitivity.
A connected component is finally identified as the set of pixels belonging to the same equivalence class
During testing for equivalence class
formation, a novel stimulus, a female occupation, was included among the male occupation stimuli.
The above said methods are laborious and do not provide us with exact procedures to automate the process of equivalence class
generation that play an important role in the design of a Rough Set Information Retrieval Systems.
To derive fuzzy classes from sharp contexts, the qualifying attributes are considered as linguistic variables, and verbal terms are assigned to each equivalence class
The symmetries in this definition allow for a natural equivalence class
structure, as was shown for Fornasier's intrinsically localized frames in .
In the second phase, the PA algorithm recursively scans the body of text for "significant patterns" that consist of a sequence of graph edges (words that follow each other to form common phrases, such as "book a" in the example), an equivalence class
of vertices (first-class, direct and economy), and a terminating sequence of graph edges (flight).