Ad
related to: the theory of generalizationamazon.com has been visited by 1M+ users in the past month
Search results
Results from the WOW.Com Content Network
Generalization is the concept that humans, other animals, and artificial neural networks use past learning in present situations of learning if the conditions in the situations are regarded as similar. [1] The learner uses generalized patterns, principles, and other similarities between past experiences and novel experiences to more efficiently ...
Generalizability theory, or G theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.e., reproducibility) of measurements under specific conditions. It is particularly useful for assessing the reliability of performance assessments.
The universal law of generalization is a theory of cognition stating that the probability of a response to one stimulus being generalized to another is a function of the “distance” between the two stimuli in a psychological space. It was introduced in 1987 by Roger N. Shepard, [1] [2] who began researching mechanisms of generalization while ...
Transfer may also be referred to as generalization, B. F. Skinner's concept of a response to a stimulus occurring to other stimuli. [3] Today, transfer of learning is usually described as the process and the effective extent to which past experiences (also referred to as the transfer source ) affect learning and performance in a new situation ...
Universal generalization / instantiation. Existential generalization / instantiation. In predicate logic, generalization (also universal generalization, universal introduction, [1] [2] [3] GEN, UG) is a valid inference rule. It states that if has been derived, then can be derived.
In algebra, generalizations of the derivative can be obtained by imposing the Leibniz rule of differentiation in an algebraic structure, such as a ring or a Lie algebra. Derivations. A derivation is a linear map on a ring or algebra which satisfies the Leibniz law (the product rule).
Vapnik–Chervonenkis theory (also known as VC theory) was developed during 1960–1990 by Vladimir Vapnik and Alexey Chervonenkis. The theory is a form of computational learning theory , which attempts to explain the learning process from a statistical point of view.
One theory of memory development suggests that basic (domain-general) memory processes become more superior through maturation. In this theory, basic memory processes are frequently used, rapidly executed memory activities. These activities include: association, generalization, recognition, and recall.
Ad
related to: the theory of generalizationamazon.com has been visited by 1M+ users in the past month