Results 21 to 30 of about 29,938 (247)
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
openaire +3 more sources
Shadow prices for continuous processes [PDF]
, 2015 In a financial market with a continuous price process and proportional transaction costs we investigate the problem of utility maximization of terminal wealth.
Czichowsky, Christoph +2 more
core +2 more sources
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
openaire +2 more sources
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
core +1 more source
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
core +2 more sources
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
core +2 more sources
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
core +2 more sources
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
openaire +1 more source
Iran Journal of Computer Science, 2023 48 pages, 14 Tables, 12 ...
Sayed Pedram Haeri Boroujeni +1 more
openaire +2 more sources
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source