Results 51 to 60 of about 166,638 (162)

Price Probabilities: A Class of Bayesian and Non-Bayesian Prediction Rules [PDF]

SSRN Electronic Journal, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Uniqueness of the Level Two Bayesian Network Representing a Probability Distribution

International Journal of Mathematics and Mathematical Sciences, 2011
Bayesian Networks are graphic probabilistic models through which we can acquire, capitalize on, and exploit knowledge. they are becoming an important tool for research and applications in artificial intelligence and many other fields in the last decade ...
Linda Smail
doaj   +1 more source

Learning a Flexible K-Dependence Bayesian Classifier from the Chain Rule of Joint Probability Distribution

Entropy, 2015
As one of the most common types of graphical models, the Bayesian classifier has become an extremely popular approach to dealing with uncertainty and complexity.
Limin Wang, Haoyu Zhao
doaj   +1 more source

Subjective confidence reflects representation of Bayesian probability in cortex. [PDF]

Nat Hum Behav, 2022
Geurts LS, Cooke JRH, van Bergen RS, Jehee JFM.   +3 more
europepmc   +1 more source

Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer. [PDF]

Sci Rep, 2021
Kothari R, Jones V, Mena D, Bermúdez Reyes V, Shon Y, Smith JP, Schmolze D, Cha PD, Lai L, Fong Y, Storrie-Lombardi MC.   +10 more
europepmc   +1 more source

Modifying Bayesian Networks by Probability Constraints

CoRR, 2005
Proceedings of the 21st Conference on Uncertainty in Artificial ...
Yun Peng 0001, Zhongli Ding
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Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck: Bayesian probability versus neural network. [PDF]

Magn Reson Med, 2021
Koopman T, Martens R, Gurney-Champion OJ, Yaqub M, Lavini C, de Graaf P, Castelijns J, Boellaard R, Marcus JT.   +8 more
europepmc   +1 more source

Establishing a New Link between Fuzzy Logic, Neuroscience, and Quantum Mechanics through Bayesian Probability: Perspectives in Artificial Intelligence and Unconventional Computing. [PDF]

Molecules, 2021
Gentili PL.
europepmc   +1 more source

Uncertainty Forecasting Model for Mountain Flood Based on Bayesian Deep Learning

IEEE Access
Due to the characteristics of strong suddenness, high harmfulness, and frequent occurrence of mountain flood disasters in small watersheds, the accuracy and reliability of mountain flood forecasting are insufficient in small watersheds.
Songsong Wang, Ouguan Xu
doaj   +1 more source

Bayesian Probabilities and Quartet Puzzling [PDF]

Molecular Biology and Evolution, 1997
Strimmer, K, Goldman, N, von Haeseler, Arndt   +2 more
openaire   +3 more sources