Results 1 to 10 of about 128,009 (300)

Using Empirical Bayes Methods to Rank Counties on Population Health Measures [PDF]

open access: yesPreventing Chronic Disease, 2013
University of Wisconsin Population Health Institute has published County Health Rankings (The Rankings) since 2010. These rankings use population-based data to highlight variation in health and encourage health assessment for all US counties.
Jessica K. Athens, PhD   +3 more
doaj   +2 more sources

Empirical Bayes Methods, Evidentialism, and the Inferential Roles They Play [PDF]

open access: yesEntropy
Empirical Bayes-based Methods (EBM) is an increasingly popular form of Objective Bayesianism (OB). It is identified in particular with the statistician Bradley Efron.
Samidha Shetty   +2 more
doaj   +2 more sources

Application Of Naïve Bayes to Predict the Potential of Rain in Ternate City [PDF]

open access: yesE3S Web of Conferences, 2021
The amount of rainfall that occurs cannot be determined with certainty, but it can be predicted or estimated. In predicting the potential for rain, data mining techniques can be used by classifying data using the naive Bayes method. Naïve Bayes algorithm
Ali Alwin   +3 more
doaj   +1 more source

A Bayes Linear Bayes Method for Estimation of Correlated Event Rates [PDF]

open access: yesRisk Analysis, 2013
Typically, full Bayesian estimation of correlated event rates can be computationally challenging since estimators are intractable. When estimation of event rates represents one activity within a larger modeling process, there is an incentive to develop more efficient inference than provided by a full Bayesian model.
Quigley, John   +3 more
openaire   +4 more sources

Feature selection approach using ensemble learning for network anomaly detection

open access: yesCAAI Transactions on Intelligence Technology, 2020
Feature selection is essential for prioritising important attributes in data to improve prediction quality in machine learning algorithms. As different selection techniques identify different feature sets, relying on a single method may result in risky ...
Doreswamy   +2 more
doaj   +1 more source

State-of-Charge estimation of Li-ion battery at different temperatures using particle filter

open access: yesThe Journal of Engineering, 2019
State-of-Charge (SOC) estimation is one of the fundamental functions undertaken by Battery Management System (BMS) in an Electric Vehicle (EV) to assess the residual service time of the battery during operation.
Venu Sangwan   +2 more
doaj   +1 more source

Bayes-Optimal Methods for Finding the Source of a Cascade [PDF]

open access: yesICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
6 pages, 2 ...
Anirudh Sridhar, H. Vincent Poor
openaire   +2 more sources

Multi-radar fusion technique for high-resolution ISAR imaging in sea-cluttered environment

open access: yesThe Journal of Engineering, 2019
Radar imaging of the ship is one of the important means for surveillance and reconnaissance of targets. Here, the K-distribution is used for the statistical characterisation of echo model in sea-clutter environment.
Liu Yi   +3 more
doaj   +1 more source

A Bayes-Sard Cubature Method

open access: yesAdvances in neural information processing systems, 2018
This paper focusses on the formulation of numerical integration as an inferential task. To date, research effort has largely focussed on the development of Bayesian cubature, whose distributional output provides uncertainty quantification for the integral.
Toni Karvonen   +2 more
openaire   +5 more sources

Naive Bayesian classifier for hydrophobicity classification of overhead polymeric insulators using binary image features with ambient light compensation

open access: yesHigh Voltage, 2019
Dispersion nature of water droplets over the insulator surface is used for hydrophobicity classification. Stochastic nature of water dispersions makes naive Bayesian classifier a preferable choice, which has been investigated in this work.
Rajamohan Jayabal   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy