Results 11 to 20 of about 5,052,793 (311)
Optimal Margin Distribution Machine [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2020 Support vector machine (SVM) has been one of the most popular learning algorithms, with the central idea of maximizing the minimum margin, i.e., the smallest distance from the instances to the classification boundary. Recent theoretical results, however, disclosed that maximizing the minimum margin does not necessarily lead to better generalization ...
Teng Zhang 0001, Zhi-Hua Zhou
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Modeling Insurance Claim Distribution via Mixture Distribution and Copula [PDF]
تحقیقات مالی, 2017 This paper analyses whether joint probability distribution function of losses due to different exposures covered under the same policy could be modeled in an appropriate manner via mixture distribution proposed and copula concept.
Saeed Bajalan +2 more
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Yantu gongcheng xuebao, 2020 The uncertainty and correlation of nonlinear strength parameters of rockfill are the key factors affecting the stability reliability analysis results of rockfill dam slopes.
KONG Xian-jing 1, 2, SONG Lai-fu 1, XU Bin 1, 2, ZOU De-gao 1, 2
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Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring [PDF]
International Journal of Computational Intelligence Systems, 2013 A novel froth image analysis based production condition recognition method is presented to identify the froth phases under various production conditions.
Jinping Liu +4 more
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Marginally Calibrated Deep Distributional Regression [PDF]
Journal of Computational and Graphical Statistics, 2020 Deep neural network (DNN) regression models are widely used in applications requiring state-of-the-art predictive accuracy. However, until recently there has been little work on accurate uncertainty quantification for predictions from such models. We add to this literature by outlining an approach to constructing predictive distributions that are ...
Nadja Klein +2 more
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Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors
Sensors, 2017 Issues of missing data have become increasingly serious with the rapid increase in usage of traffic sensors. Analyses of the Beijing ring expressway have showed that up to 50% of microwave sensors pose missing values.
Xiaolei Ma, Sen Luan, Bowen Du, Bin Yu
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Selection of the Best Copula Function in Bivariate Analysis of Water Resources Components (Case study: Siminehrood River Basin, Iran) [PDF]
Water Harvesting ResearchThe copula function is a joint distribution of correlated random variables that are defined based on univariate marginal distributions. The aim of the present study is to select the best copula function to create joint probability distributions between ...
Fahimeh Sharifan +3 more
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On the marginal distribution of the eigenvalues of wishart matrices [PDF]
IEEE Transactions on Communications, 2009 Random matrices play a crucial role in the design and analysis of multiple-input multiple-output (MIMO) systems. In particular, performance of MIMO systems depends on the statistical properties of a subclass of random matrices known as Wishart when the propagation environment is characterized by Rayleigh or Rician fading.
Alberto Zanella +2 more
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Encounter Analysis between Strong Wind and Rainstorm of Reservoir Based on Copula Functions
Renmin Zhujiang, 2021 The purpose of this study is to discuss the encounter problem between strong wind and rainstorm in the coastal reservoirs.The Dalongdong Reservoir,located in Taishan of Guangdong Province,was taken as a study case.The P-III,Gamma and GEV functions were ...
CAI Qilin +3 more
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IEEE Access, 2021 Distribution locational marginal pricing (DLMP) is an increasingly popular pricing signal that can be used to incentivize grid-friendly behavior of distributed energy resources (DER) to optimize economic efficiency in distribution grids. In this paper, a
Uvin Liyanapathirane +2 more
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