Results 231 to 240 of about 1,294,144 (288)

A novel local region-based active contour model for image segmentation using Bayes theorem

Information Sciences, 2020
Local region-based active contour methods have been widely used to segment images with intensity inhomogeneity. However, this process can hardly segment images well when influenced by different noise.
Yupeng Li, Guo Cao, Tao Wang, Qiongjie Cui, Bisheng Wang   +4 more
semanticscholar   +1 more source

Are most randomised trials in anaesthesia and critical care wrong? An analysis using Bayes’ theorem

Anaesthesia, 2020
False findings are an inevitable consequence of statistical testing. In this article, I use Bayes’ theorem to estimate the false positive and false negative risks for randomised controlled trials related to our speciality.
D. Sidebotham
semanticscholar   +1 more source

Data-Driven Regulation Reserve Capacity Determination Based on Bayes Theorem

IEEE Transactions on Power Systems, 2020
To counteract the real-time power fluctuations and maintain the performance of the frequency regulation, it is essential for the system operator to properly determine the frequency regulation reserve capacities (FRRCs).
Likai Liu, Zechun Hu
semanticscholar   +1 more source

Two Efficient AK-Based Global Reliability Sensitivity Methods by Elaborative Combination of Bayes’ Theorem and the Law of Total Expectation in the Successive Intervals Without Overlapping

IEEE Transactions on Reliability, 2020
The global reliability sensitivity index (GRSI) can measure the effect of model input variable on the failure probability of the structure and provide guidance for the reliability-based design optimization. In this paper, to efficiently estimate the GRSI,
Wanying Yun, Zhenzhou Lu, Kaixuan Feng, Xian Jiang, Pan Wang, Luyi Li   +5 more
semanticscholar   +1 more source

Bayes' Theorem and Naive Bayes Classifier

Encyclopedia of Bioinformatics and Computational Biology, 2019
The goal of this article is to give a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from fundamental elements of probability theory, this text outlines all steps leading
D. Berrar
semanticscholar   +1 more source

Bayes's Theorem

International Philosophical Quarterly, 2005
Bayes' theorem is a tool for assessing how probable evidence makes some hypothesis. The papers in this book consider the worth and applicability of the theorem. The book sets out the philosophical issues: Elliott Sober argues that there are other criteria for assessing hypotheses; Colin Howson, Philip Dawid, and John Earman consider how the theorem can
  +4 more sources

An efficient method based on Bayes’ theorem to estimate the failure-probability-based sensitivity measure

Mechanical systems and signal processing, 2019
The failure-probability-based sensitivity, which measures the effect of input variables on the structural failure probability, can provide useful information in reliability based design optimization.
Yanping Wang, Sinan Xiao, Zhenzhou Lu
semanticscholar   +1 more source

A new efficient simulation method based on Bayes' theorem and importance sampling Markov chain simulation to estimate the failure-probability-based global sensitivity measure

Aerospace Science and Technology, 2018
The failure-probability-based global sensitivity measure can detect the effect of input variables on the structural failure probability, which can provide useful information in reliability-based design. In this paper, a new efficient simulation method is
Yanping Wang, Sinan Xiao, Zhenzhou Lu
semanticscholar   +1 more source

Detecting Corn Plant Disease with Expert System Using Bayes Theorem Method

2018 6th International Conference on Cyber and IT Service Management (CITSM), 2018
Corn is one of the food commodities in Indonesia. The need for corn commodity continues to increase from year to year both as main food ingredient, animal feed and as raw material of large scale industry until small scale.
Frans Ikorasaki, M. B. Akbar
semanticscholar   +1 more source

Bayes' Theorem

2008
Bruno de Finetti, Maria Carla Galavotti, Hykel Hosni, Alberto Mura   +3 more
  +5 more sources