Results 31 to 40 of about 136,829,320 (227)

Maximum a Posteriori Estimation for Information Source Detection

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
Information source detection is to identify nodes initiating the diffusion process in a network, which has a wide range of applications including epidemic outbreak prevention, Internet virus source identification, and rumor source tracing in social networks.
Biao Chang, Enhong Chen, Feida Zhu 0001, Qi Liu 0003, Tong Xu 0001, Zhefeng Wang 0001   +5 more
openaire   +7 more sources

Improving maximum likelihood estimation using prior probabilities: A tutorial on maximum a posteriori estimation and an examination of the weibull distribution [PDF]

Tutorials in Quantitative Methods for Psychology, 2013
This tutorial describes a parameter estimation technique that is little-known in social sciences, namely maximum a posteriori estimation. This technique can be used in conjunction with prior knowledge to improve maximumlikelihood estimation of the best ...
Denis Cousineau, Sebastien Helie
doaj  

A convex nonlocal total variation regularization algorithm for multiplicative noise removal

EURASIP Journal on Image and Video Processing, 2019
This study proposes a nonlocal total variation restoration method to address multiplicative noise removal problems. The strictly convex, objective, nonlocal, total variation effectively utilizes prior information about the multiplicative noise and uses ...
Mingju Chen, Hua Zhang, Qiang Han, Chen Cheng Huang   +3 more
doaj   +1 more source

Item-Weighted Likelihood Method for Measuring Growth in Longitudinal Study With Tests Composed of Both Dichotomous and Polytomous Items

Frontiers in Psychology, 2021
In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
doaj   +1 more source

Multibaseline Gradient Ambiguity Resolution To Support Minimum Cost Flow Phase Unwrapping [PDF]

, 2010
The TanDEM-X Mission has as primary objective to generate a high resolution global Digital Elevation Model. This paper proposes a new method for multibaseline Phase Unwrapping which is the critical point of this generation.
Marie Lachaise, Richard Bamler, Lachaise, Marie, Bamler, Richard, Fernando Rodriguez Gonzalez, Rodriguez Gonzalez, Fernando   +5 more
core   +1 more source

Maximum A Posteriori estimation for AUV localization with USBL measurements

IFAC-PapersOnLine, 2021
Abstract Due to the limitations of electromagnetic signals, underwater scenarios increase the complexity of developing accurate navigation systems. In the last decades, Ultra-Short BaseLine (USBL) positioning systems have been widely and efficiently used for Autonomous Underwater Vehicles (AUVs) localization, endorsing to be a suitable solution to ...
Franchi M., Bucci A., Zacchini L., Ridolfi A., Bresciani M., Peralta G., Costanzi R.   +6 more
openaire   +3 more sources

Features of construction of evaluation algorithms multidimensional random processes

Системный анализ и прикладная информатика, 2020
The problem of evaluating the information which is present in random signals from various sources-meters is considered. It is assumed that the random process which is evaluated and the meter output according mathematical description of the problem are ...
A. A. Lobaty, A. Y. Bumai
doaj   +1 more source

On Using Maximum a Posteriori Probability Based on a Bayesian Model for Oscillometric Blood Pressure Estimation

Sensors, 2013
The maximum amplitude algorithm (MAA) is generally utilized in the estimation of the pressure values, and it uses heuristically obtained ratios of systolic and diastolic oscillometric amplitude to the mean arterial pressure (known as systolic and ...
Soojeong Lee, Gangseong Lee, Gwanggil Jeon   +2 more
doaj   +1 more source

Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models

IEEE Access, 2016
In this paper, a joint feature selection and parameter estimation algorithm is presented for hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs).
Stephen Adams, Peter A. Beling, Randy Cogill   +2 more
doaj   +1 more source

Maximum a posteriori estimation for high-throughput peak fitting in X-ray photoelectron spectroscopy

Science and Technology of Advanced Materials: Methods
We introduce a peak fitting method to estimate the model parameters and the number of peaks without using the conventional trial-and-error approach. The proposed method automatically removes excess peaks using maximum a posteriori estimation.
Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata, Yasunobu Ando   +4 more
doaj   +1 more source