Results 11 to 20 of about 185,676 (265)
Deep generative models in DataSHIELD
BMC Medical Research Methodology, 2021 Background The best way to calculate statistics from medical data is to use the data of individual patients. In some settings, this data is difficult to obtain due to privacy restrictions.
Stefan Lenz, Moritz Hess, Harald Binder
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Exploring generative artificial intelligence: a comprehensive guide [PDF]
PeerJ Computer ScienceGenerative artificial intelligence (GAI), a specialized branch of artificial intelligence, has developed as a dynamic discipline that drives innovation and creativity across several domains.
Rasha Shoitan +4 more
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Probabilistic generative transformer language models for generative design of molecules
Journal of Cheminformatics, 2023 Self-supervised neural language models have recently found wide applications in the generative design of organic molecules and protein sequences as well as representation learning for downstream structure classification and functional prediction. However,
Lai Wei +4 more
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NeuroImage, 2023 Generative models of the human connectome enable in silico generation of brain networks based on probabilistic wiring rules. These wiring rules are governed by a small number of parameters that are typically fitted to individual connectomes and quantify ...
Yuanzhe Liu +6 more
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Kompren: modeling and generating model slicers [PDF]
Software & Systems Modeling, 2012 Among model comprehension tools, model slicers are tools that extract a subset of model elements, for a specific purpose. Model slicers provide a mechanism to isolate and focus on parts of the model, thereby improving the overall analysis process. However, existing slicers are dedicated to a specific modeling language.
Blouin, Arnaud +3 more
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Large Language Models and Minimalism: Theories, grammars, and computational modeling [PDF]
Italian Journal of LinguisticsChesi (this issue), responding to Piantadosi (2024), compares Large Language Models with work in Generative Linguistics. Chesi points out that syntactic tests exist for Large Language Models, but not for theories of Generative Linguistics,
Jason Ginsburg
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Discovering generative models from event logs: data-driven simulation vs deep learning [PDF]
PeerJ Computer Science, 2021 A generative model is a statistical model capable of generating new data instances from previously observed ones. In the context of business processes, a generative model creates new execution traces from a set of historical traces, also known as an ...
Manuel Camargo +2 more
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A Generic Model of Consciousness
Journal of Artificial Intelligence and Consciousness, 2023 This is a model of consciousness. The hard problem of consciousness, what it feels like, is answered. The work builds on medical research analyzing the source and mechanisms associated with our feelings. It goes further by describing a generic model with wide applicability.
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On Generalizations of the Engset Model [PDF]
IEEE Communications Letters, 2007 The Engset model has been extensively studied and widely used for blocking probability evaluation in telecommunications networks. In 1957, J.W. Cohen considered two generalizations of the Engset model: 1) permitting the distributions of the holding time and interarrival time to differ from source to source; 2) permitting the idle time distribution to ...
Eric W. M. Wong +2 more
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