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检索条件"主题词=expectation maximization algorithm"
643 条 记 录,以下是511-520 订阅
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General Linear Threshold Models with Application to Influence maximization
arXiv
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arXiv 2024年
作者: Kagan, Alexander Levina, Elizaveta Zhu, Ji Department of Statistics University of Michigan United States
A number of models have been developed for information spread through networks, often for solving the Influence maximization (IM) problem. IM is the task of choosing a fixed number of nodes to "seed" with in... 详细信息
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Unsupervised Satellite Image Segmentation using a Bivariate Beta type-II Mixture Model
Unsupervised Satellite Image Segmentation using a Bivariate ...
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IEEE International Conference on Computational Cybernetics
作者: Taher Ben Arab Mourad Zribi Afif Masmoudi Laboratoire d'Informatique Signal et Image de la Cote d'Opale (LISIC-EA 4491) ULCO 50 Rue Ferdinand Buisson BP 719 62228 Calais Cedex France. Laboratoire de Probabilités et Statistique Faculté des Sciences de Sfax Université de Sfax. B. P. 1171 Sfax Laboratoire d'Informatique Signal et Image de la C?te d'Opale (LISIC-EA 4491) ULCO 50 Rue Ferdinand Buisson BP 719 62228 Calais Cedex France. Laboratoire de Probabilités et Statistique Faculté des Sciences de Sfax Université de Sfax. B. P. 1171 Sfax Tunisie.
This paper presents an unsupervised satellite color image segmentation approach based on Bivariate Beta type-II. Such a method could be considered as original since it uses a K-Means clustering algorithm in order to i... 详细信息
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The Generalization Error of Machine Learning algorithms
arXiv
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arXiv 2024年
作者: Perlaza, Samir M. Zou, Xinying INRIA Centre Inria d’Université Côte d’Azur Sophia Antipolis06902 France The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States The GAATI Mathematics Laboratory University of French Polynesia Faaa98702 French Polynesia
In this paper, the method of gaps, a technique for deriving closed-form expressions in terms of information measures for the generalization error of machine learning algorithms is introduced. The method relies on two ... 详细信息
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Fitting Multilevel Factor Models
arXiv
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arXiv 2024年
作者: Parshakova, Tetiana Hastie, Trevor Boyd, Stephen
We examine a special case of the multilevel factor model, with covariance given by multilevel low rank (MLR) matrix [PHDB24]. We develop a novel, fast implementation of the expectation-maximization (EM) algorithm, tai... 详细信息
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Quasi-likelihood-based EM algorithm for regime-switching SDE
arXiv
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arXiv 2024年
作者: Cheng, Yuzhong Masuda, Hiroki Graduate School of Mathematics Kyushu University 744 Motooka Nishi-ku Fukuoka819-0395 Japan Graduate School of Mathematical Sciences University of Tokyo 3-8-1 Komaba Meguro-ku Tokyo153-8914 Japan
This paper considers estimating the parameters in a regime-switching stochastic differential equation(SDE) driven by Normal Inverse Gaussian(NIG) noise. The model under consideration incorporates a continuous-time fin... 详细信息
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In-context Learning for Mixture of Linear Regressions: Existence, Generalization and Training Dynamics
arXiv
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arXiv 2024年
作者: Jin, Yanhao Balasubramanian, Krishnakumar Lai, Lifeng Department of Statistics University of California Davis United States Department of Electrical and Computer Engineering University of California Davis United States
We investigate the in-context learning capabilities of transformers for the d-dimensional mixture of linear regression model, providing theoretical insights into their existence, generalization bounds, and training dy... 详细信息
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A Large Confirmatory Dynamic Factor Model for Stock Market Returns in Different Time Zones
arXiv
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arXiv 2022年
作者: Linton, Oliver B. Tang, Haihan Wu, Jianbin Faculty of Economics University of Cambridge Austin Robinson Building Sidgwick Avenue CambridgeCB3 9DD United Kingdom International School of Finance Fudan University 220 Handan Road Yangpu District Shanghai200433 China School of Business Nanjing University 22 Hankou Road Gulou District Nanjing210093 China
We propose a confirmatory dynamic factor model for a large number of stocks whose returns are observed daily across multiple time zones. The model has a global factor and a continental factor that both drive the indiv... 详细信息
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A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models
arXiv
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arXiv 2024年
作者: Liu, Panfeng Qiu, Guoliang Tao, Biaoshuai Yang, Kuan Shanghai Jiao Tong University China
We study cascades in social networks with the independent cascade (IC) model and the Susceptible-Infected-recovered (SIR) model. The well-studied IC model fails to capture the feature of node recovery, and the SIR mod... 详细信息
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Learning Submodular Sequencing from Samples
arXiv
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arXiv 2024年
作者: Yuan, Jing Tang, Shaojie Department of Computer Science and Engineering The University of North Texas United States Department of Management Science and Systems University at Buffalo United States
This paper addresses the problem of sequential submodular maximization: selecting and ranking items in a sequence to optimize some composite submodular function. In contrast to most of the previous works, which assume... 详细信息
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Fitting Multiple Machine Learning Models with Performance Based Clustering
arXiv
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arXiv 2024年
作者: Lorasdagi, Mehmet E. Koc, Ahmet B. Koc, Ali T. Kozat, Suleyman S. The Department of Electrical and Electronics Engineering Bilkent University Turkey
Traditional machine learning approaches assume that data comes from a single generating mechanism, which may not hold for most real life data. In these cases, the single mechanism assumption can result in suboptimal p... 详细信息
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