Results 1 to 10 of about 1,381,183 (287)
Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter. [PDF]
Sensors (Basel), 2020 The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Du H, Xie W.
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Revealing nonclassicality beyond Gaussian states via a single marginal distribution. [PDF]
Proc Natl Acad Sci U S A, 2017 A standard method to obtain information on a quantum state is to measure marginal distributions along many different axes in phase space, which forms a basis of quantum state tomography.
Park J +8 more
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On the Optimization of Margin Distribution
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022 Margin has played an important role on the design and analysis of learning algorithms during the past years, mostly working with the maximization of the minimum margin. Recent years have witnessed the increasing empirical studies on the optimization of margin distribution according to different statistics such as medium margin, average margin, margin ...
Meng-Zhang Qian +3 more
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Mathematics, 2023 In this article, we derive a closed-form expression for computing the probabilities of p-dimensional rectangles by means of a multivariate skew-normal distribution.
Raúl Alejandro Morán-Vásquez +2 more
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Intermittency and infinite variance: the case of integrated supOU processes [PDF]
, 2021 SupOU processes are superpositions of Ornstein-Uhlenbeck type processes with a random intensity parameter. They are stationary processes whose marginal distribution and dependence structure can be specified independently.
Grahovac, Danijel +2 more
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Marginal hazard distribution in network structures
Lietuvos Matematikos Rinkinys, 2023 The subject of this work is the analysis of hazard distribution in the network systems. In the age when transport flows in the railway and road systems, information flows in the internet channels, etc.
Juozas Augutis +2 more
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Some Statistical Aspects of the Truncated Multivariate Skew-t Distribution
Mathematics, 2022 The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data.
Raúl Alejandro Morán-Vásquez +2 more
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Large margin distribution machine [PDF]
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014 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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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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