Results 181 to 190 of about 6,917,983 (390)
Research on Fault Diagnosis of Chillers Based on Improved BP Network
Zhileng xuebao, 2015 The overall detection rate using conventional neural networks to detect and diagnose the chillers’ fault is low, even this method can’t detect the fault completely.
Shi Shubiao +6 more
doaj
The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks [PDF]
, 2000 Dirk Husmeier
openalex +1 more source
A survey on Bayesian network structure learning from data
Progress in Artificial Intelligence, 2019 Mauro Scanagatta +2 more
semanticscholar +1 more source
Annals of Neurology, EarlyView.This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source
Free‐space Optical Computing Systems
Annalen der Physik, EarlyView.Manipulation and propagation of optical wavefronts in free space enables new intelligent computing hardware. Two types of optical computing systems, matrix and vector multiplication systems and diffractive optical neural network systems, are reviewed from material, device, and system aspects.
Ruiyang Chen, Weilu Gao
wiley +1 more source
Mission‐centric decision support in cybersecurity via Bayesian Privilege Attack Graph
Engineering Reports, Volume 4, Issue 12, December 2022., 2022 We propose a mission‐centric approach to assessing the risks of cyber attacks on the organization's mission and provide decision support to network security administrators. Our approach uses a unique stochastic model that connects vulnerability impacts to the mission's security requirements and allows selecting the most resilient configuration of ...
Michal Javorník, Martin Husák
wiley +1 more source
Priors on network structures. Biasing the search for Bayesian networks [PDF]
, 2000 Robert Castelo, Arno Siebes
openalex +1 more source
An algorithm directly finding the K most probable configurations in Bayesian networks
, 1994 Brigitte Séroussi, J.-L. Golmard
openalex +1 more source
Profiling your customers using Bayesian networks [PDF]
, 2000 Paola Sebastiani +2 more
openalex +1 more source
The max-min hill-climbing Bayesian network structure learning algorithm
Machine-mediated learning, 2006 I. Tsamardinos +2 more
semanticscholar +1 more source