Results 11 to 20 of about 40,132 (204)

Applying Bayes linear methods to support reliability procurement decisions [PDF]

, 2008
Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Lesley Walls, , IEEE, Bedford, Tim, Tim Bedford, Denning, Richard, Matthew Revie, Richard Denning, Revie, Matthew, Walls, Lesley   +8 more
core   +1 more source

Bayes' theorem

, 2022
U završnom radu definirane su osnove vjerojatnosti koje čine temelj Bayesovu teoremu. Pojašnjene su operacije na prostoru događaja i De Morganov zakon.
Peša, Valerija
core   +2 more sources

Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua, Jie Sui, Hui Fang, Chuan Hu, Dewei Yi   +4 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

OPTIMAL INFORMATION-PROCESSING AND BAYES' THEOREM [PDF]

, 2019
An information-processing representation of statistical inference is formulated and utilized to derive an optimal information-processing rule. When particular input and output information measures and an information criterion functional are employed, the
Zellner, Arnold
core   +1 more source

Enter the reverend: introduction to and application of Bayes' theorem in clinical ophthalmology

, 2011
Background: Ophthalmic practice utilizes numerous diagnostic tests, some of which are used to screen for disease. Interpretation of test results and many clinical management issues are actually problems in inverse probability that can be solved using ...
Thomas, Ravi, Parikh, Rajul S., Parikh, Rajul, Kerrie Mengersen, Ravi Thomas, Mengersen, Kerrie, Rajul S Parikh, Mark J Walland, Walland, Mark, Jayprakash Muliyil, Muliyil, Jayprakash, Walland, Mark J.   +11 more
core   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

On Bayes' theorem and the inverse Bernoulli theorem

, 1988
A recent assertion by S. M. Stigler that Thomas Bayes was perhaps anticipated in the discovery of the result that today bears his name is exposed to further scrutiny here.
Dale, A.I, A.I Dale
core   +1 more source

Exact Bayes’ theorem based probabilistic data association for iterative MIMO detection and decoding [PDF]

, 2013
In our previous work, it was shown that the conventional approximate Bayes' theorem based probabilistic data association (PDA) algorithms output "nominal APPs", which are unsuitable for the classic architecture of iterative detection and decoding (IDD ...
Yang, Shaoshi, Shaoshi Yang, Hanzo, Lajos, Lajos Hanzo   +3 more
core   +1 more source