Results 21 to 30 of about 29,814 (246)
Optimal B-Robust Estimators for the Parameters of the Generalized Half-Normal Distribution
Revstat Statistical Journal, 2017 The purpose of this study is to propose robust estimators by using optimal B-robust (OBR) estimation method (Hampel et al. [5]) for the parameters of the generalized half-normal (GHN) distribution. After given the robust estimators, we provide a small simulation study to compare its performance with the estimators obtained from maximum likelihood (ML ...
Dogru, Fatma Zehra +2 more
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Sequential change-point detection when unknown parameters are present in the pre-change distribution [PDF]
, 2006 In the sequential change-point detection literature, most research specifies a required frequency of false alarms at a given pre-change distribution $f_{\theta}$ and tries to minimize the detection delay for every possible post-change distribution $g_ ...
Mei, Yajun
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Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach [PDF]
, 2018 Recurrent neural networks have demonstrated to be good at tackling prediction problems, however due to their high sensitivity to hyper-parameter configuration, finding an appropriate network is a tough task.
G Litjens +8 more
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Energy Conversion and Management, 2020 Abstract The accuracy of extracting the unknown parameters of photovoltaic models is closely related with the effectiveness of modeling, simulating, and controlling photovoltaic systems. Metaheuristics have been widely used for improving the accuracy of extracting the unknown parameters of photovoltaic models.
Yiying Zhang +2 more
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Optimal Uncertainty Quantification [PDF]
, 2012 We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront.
Bentkus V. +18 more
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Genetic learning particle swarm optimization [PDF]
, 2016 Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung +6 more
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Centroid-Based Clustering with ab-Divergences [PDF]
, 2019 Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The success of any centroid-based clustering relies on the choice of the similarity measure under use.
Cruces Álvarez, Sergio Antonio +3 more
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Response-adaptive dose-finding under model uncertainty [PDF]
, 2010 Dose-finding studies are frequently conducted to evaluate the effect of different doses or concentration levels of a compound on a response of interest.
At Bochum +4 more
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Optimal Whole Slide Image Segmentation Using Generalized Normal Distribution Optimization
International Research Journal on Advanced Engineering Hub (IRJAEH)Whole slide image (WSI) segmentation is a crucial task aiding tumour and cancerous cell diagnosis. Generalized Normal Distribution Optimization (GNDO) algorithm is adopted for whole slide image segmentation based on thresholding in this paper. GNDO algorithm utilizes the generalized normal distribution's properties to determine the ideal thresholds for
null K.P. Shivamurthy +1 more
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Iran Journal of Computer Science, 2023 48 pages, 14 Tables, 12 ...
Sayed Pedram Haeri Boroujeni +1 more
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