An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators

2016 ◽  
Author(s):  
Anil Ramakrishna ◽  
Rahul Gupta ◽  
Ruth B. Grossman ◽  
Shrikanth S. Narayanan
Keyword(s):  
Expectation Maximization ◽  
Joint Modeling ◽  
Multiple Annotators

Ordered subset expectation maximization algorithm for image reconstruction applied to zero-flow or low-flow mimicking brain phantom

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S678-S678
Author(s):  
Yasuhiro Akazawa ◽  
Yasuhiro Katsura ◽  
Ryohei Matsuura ◽  
Piao Rishu ◽  
Ansar M D Ashik ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Expectation Maximization ◽  
Expectation Maximization Algorithm ◽  
Low Flow ◽  
Brain Phantom ◽  
Zero Flow

Using Approximation Non-Bayesian Computation with Fuzzy Data to Estimation Inverse Weibull Parameters and Reliability Function

2018 ◽  
pp. 397
Author(s):  
Nadia Hashim Al-Noor ◽  
Shurooq A.K. Al-Sultany
Keyword(s):  
Maximum Likelihood ◽  
Expectation Maximization ◽  
Mean Squared Error ◽  
Maximum Likelihood Estimators ◽  
Reliability Function ◽  
Fuzzy Data ◽  
Monte Carlo Simulation Study ◽  
Weibull Parameters ◽  
Squared Error ◽  
Newton Raphson

        In real situations all observations and measurements are not exact numbers but more or less non-exact, also called fuzzy. So, in this paper, we use approximate non-Bayesian computational methods to estimate inverse Weibull parameters and reliability function with fuzzy data. The maximum likelihood and moment estimations are obtained as non-Bayesian estimation. The maximum likelihood estimators have been derived numerically based on two iterative techniques namely “Newton-Raphson” and the “Expectation-Maximization” techniques. In addition, we provide compared numerically through Monte-Carlo simulation study to obtained estimates of the parameters and reliability function in terms of their mean squared error values and integrated mean squared error values respectively.

Expectation-maximization Policy Search with Parameter-based Exploration

2012 ◽  
Vol 38 (1) ◽  
pp. 38-45
Author(s):  
Yu-Hu CHENG ◽  
Huan-Ting FENG ◽  
Xue-Song WANG
Keyword(s):  
Expectation Maximization ◽  
Policy Search

Video Object Segmentation Research Based on Features Joint Modeling

2014 ◽  
Vol 36 (11) ◽  
pp. 2356-2363
Author(s):  
Zong-Min LI ◽  
Xu-Chao GONG ◽  
Yu-Jie LIU
Keyword(s):  
Object Segmentation ◽  
Joint Modeling ◽  
Video Object Segmentation ◽  
Video Object
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