Search Results - (( probable estimation methods algorithm ) OR ( processes evaluation method algorithm ))
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The research on the signal source number estimation algorithm
Published 2024“…The experimental results show that with the increase of the SNR and the number of array elements, the correct estimation probability of the algorithm also increases correspondingly, which provides a reliable experimental basis and performance evaluation for the estimation. © 2024 Institute of Advanced Engineering and Science. …”
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Article -
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
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Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin
Published 2021“…Newton's Method also called the Newton-Raphson method is a recursive algorithm for approximating the root of a differentiable function. …”
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Towards a Malay derivational lexicon: learning affixes using expectation maximization
Published 2011“…Using a morphology-based language model, we first estimate the probability of a given segmentation. …”
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Robust Kernel Density Function Estimation
Published 2010“…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
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Human tracking in video surveillance using particle filter
Published 2016“…The technique performed excellently well when evaluated on the publicly available CAVIAR dataset and outperformed the Kalman filter algorithm. …”
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Conference or Workshop Item -
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Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks
Published 1999“…The merge event bias as one of the essential problems associated with PERT is discussed, along with models and approaches developed by other researchers, namely, Probabilistic Network Evaluation Technique (PNET algorithm), Modified PNET, Back-Forward Uncertainly Estimation procedure (BFUE) and concept based on the robust reliability idea. …”
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Simulation algorithm of bayesian approach for choice-conjoint model
Published 2011“…Therefore this research propose simulation algorithm of Bayesian approach for estimating parameter in MPM by Bayesian analysis to avoid computational difficulties in computing the maximum likelihood estimates (MLE).…”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
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Tree-based contrast subspace mining method
Published 2020“…Then, the tree-based method, the genetic algorithm based parameter values identification of tree-based method, and followed by the genetic algorithm based tree-based method, for numerical data sets are developed and evaluated. …”
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MM-PNEMO: a mathematical model to assess handoff delay and packet loss
Published 2019“…Thus, it is uphill to use algorithms having giant processing power or memory footprint. …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…The estimation of unknown PDF is a common problem and in this study Gaussian kernel function which is most widely used nonparametric density estimation method has been used for PDF calculation. …”
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Estimation of transformers health index based on condition parameter factor and hidden Markov model
Published 2018“…Next, the emission probabilities for each of the condition parameter factors were derived based on frequency of occurrence method. …”
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Conference or Workshop Item -
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Outlier detection in circular regression model using minimum spanning tree method
Published 2019“…Then, the performances of both algorithms were measured using “success” probability. …”
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Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…For parameter estimation, the simulated annealing global optimization routine and an EM-algorithm type approach for maximum likelihood estimation are studied. …”
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