Results 1 to 10 of about 300,398 (297)
Optimal forecasting accuracy using Lp-norm combination. [PDF]
Metron, 2022 AbstractA well-known result in statistics is that a linear combination of two-point forecasts has a smaller Mean Square Error (MSE) than the two competing forecasts themselves (Bates and Granger in J Oper Res Soc 20(4):451–468, 1969). The only case in which no improvements are possible is when one of the single forecasts is already the optimal one in ...
Giacalone M.
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A Total Lp-Norm Optimization for Bearing-Only Source Localization in Impulsive Noise with SαS Distribution [PDF]
Sensors, 2021 This paper considers the problem of robust bearing-only source localization in impulsive noise with symmetric α-stable distribution based on the Lp-norm minimization criterion. The existing Iteratively Reweighted Pseudolinear Least-Squares (IRPLS) method
Ji-An Luo +3 more
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Group-based local adaptive deep multiple kernel learning with lp norm. [PDF]
PLoS ONE, 2020 The deep multiple kernel Learning (DMKL) method has attracted wide attention due to its better classification performance than shallow multiple kernel learning.
Shengbing Ren +4 more
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Joint Lp-Norm and L2,1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery [PDF]
Frontiers in Genetics, 2021 The dimensionality reduction method accompanied by different norm constraints plays an important role in mining useful information from large-scale gene expression data.
Xiang-Zhen Kong +6 more
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Expectation Values and Variance Based on Lp-Norms [PDF]
Entropy, 2012 This analysis introduces a generalization of the basic statistical concepts of expectation values and variance for non-Euclidean metrics induced by Lp-norms.
George Livadiotis
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A P-Norm Robust Feature Extraction Method for Identifying Differentially Expressed Genes. [PDF]
PLoS ONE, 2015 In current molecular biology, it becomes more and more important to identify differentially expressed genes closely correlated with a key biological process from gene expression data.
Jian Liu +5 more
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A combined method based on kurtosis indexes for estimating p in non-linear Lp-norm regression
Sustainable Futures, 2020 The Generalized Error Distribution (G.E.D.) is a very flexible family of symmetric density distributions, which are characterized by their shape parameter p linked to the Lp-norm estimators.
Massimiliano Giacalone
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Abstract and Applied Analysis, 2023 We focus on the global existence and Lp−Lq rates of convergence for the compressible magnetohydrodynamic equations in R3. We prove the global existence of smooth solutions using the standard energy method under the condition that the initial data are ...
Mohamed Ahmed Abdallah, Zhong Tan
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IET Radar, Sonar & Navigation, 2023 The Gaussian noise model and estimators based on least squares (LS) are widely used in target localisation with distributed multiple‐input multiple‐output (MIMO) radar because of their computational efficiency.
Jing Yang +5 more
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BUILDING RECONSTRUCTION BASED ON A SMALL NUMBER OF TRACKS USING NONPARAMETRIC SAR TOMOGRAPHIC METHODS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Nowadays, the synthetic aperture radar (SAR) tomography (TomoSAR) technique plays a notable role in the 3D reconstruction of urban buildings through several SAR acquisitions with slightly different positions.
M. Omati, M. M. Omati, M. H. Bastani
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