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A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
Analogously, a classifier based on a generative model is a generative classifier, while a classifier based on a discriminative model is a discriminative classifier, though this term also refers to classifiers that are not based on a model. Standard examples of each, all of which are linear classifiers, are: generative classifiers:
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Generative science is an area of research that explores the natural world and its complex behaviours. It explores ways "to generate apparently unanticipated and infinite behaviour based on deterministic and finite rules and parameters reproducing or resembling the behavior of natural and social phenomena". [ 1 ]
Cultural memory is a form of collective memory shared by a group of people who share a culture. [1] The theory posits that memory is not just an individual, private experience but also part of the collective domain, which both shapes the future and our understanding of the past.
By equipping the generative model with hidden states that model control, policies (control sequences) that minimise variational free energy lead to high utility states. [ 51 ] Neurobiologically, neuromodulators such as dopamine are considered to report the precision of prediction errors by modulating the gain of principal cells encoding ...
The multi-step flow theory assumes ideas flow from mass media to opinion leaders before being disseminated to a wider population. This theory was first introduced by sociologist Paul Lazarsfeld et al. in 1944 and elaborated by Elihu Katz and Lazarsfeld in 1955.
The Working Memory Model (Baddeley and Hitch, 1974, updated-2000) Many models of working memory have been made. One of the most regarded is the Baddeley and Hitch model of working memory. It takes into account both visual and auditory stimuli, long-term memory to use as a reference, and a central processor to combine and understand it all.