Results 81 to 90 of about 860,662 (182)

Deep Probabilistic Graphical Modeling

open access: yes, 2020
Probabilistic graphical modeling (PGM) provides a framework for formulating an interpretable generative process of data and expressing uncertainty about unknowns, but it lacks flexibility. Deep learning (DL) is an alternative framework for learning from data that has achieved great empirical success in recent years.
openaire   +3 more sources

Distributional Probabilistic Model Checking

open access: yes
Probabilistic model checking can provide formal guarantees on the behavior of stochastic models relating to a wide range of quantitative properties, such as runtime, energy consumption or cost. But decision making is typically with respect to the expected value of these quantities, which can mask important aspects of the full probability distribution ...
Ingy Elsayed-Aly, David Parker, Lu Feng
openaire   +2 more sources

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. [PDF]

open access: yesMed Image Comput Comput Assist Interv, 2023
Peng W   +5 more
europepmc   +1 more source

Probabilistic model checking of cancer metabolism. [PDF]

open access: yesSci Rep, 2022
Friedenberg MD   +4 more
europepmc   +1 more source

Estimating future variant Creutzfeldt-Jakob disease cases in the UK: a cohort-based probabilistic model. [PDF]

open access: yesLancet Reg Health Eur
Roberts B   +8 more
europepmc   +1 more source

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