Results 1 to 10 of about 282,377 (316)
On the rank minimization problem [PDF]
Proceedings of the 2004 American Control Conference, 2004 After a brief overview of the problem of finding the extremal (minimum or maximum) rank positive semidefinite matrix subject to matrix inequalities, we identify a few new classes of such problems that can be efficiently solved. We then proceed to present an algorithm for solving the general class of rank minimization problems.
Yoonsoo Kim 0001, Mehran Mesbahi
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The rank pricing problem with ties [PDF]
European Journal of Operational Research, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Domínguez, Concepción +2 more
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Bilevel integer linear models for ranking items and sets
Operations Research Perspectives, 2023 Item and set orderings help with data management. Depending on the context, it is just as important to order a list of items (customers from different provinces, companies from different sectors, players from different teams) as it is to order a list of ...
Martine Labbé +2 more
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A Nonconvex Method to Low-Rank Matrix Completion
IEEE Access, 2022 In recent years, the problem of recovering a low-rank matrix from partial entries, known as low-rank matrix completion problem, has attracted much attention in many applications.
Haizhen He +3 more
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A new powerful nonparametric rank test for ordered alternative problem. [PDF]
PLoS ONE, 2014 We propose a new nonparametric test for ordered alternative problem based on the rank difference between two observations from different groups. These groups are assumed to be independent from each other. The exact mean and variance of the test statistic
Guogen Shan, Daniel Young, Le Kang
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Dictionary-Based Low-Rank Approximations and the Mixed Sparse Coding Problem
Frontiers in Applied Mathematics and Statistics, 2022 Constrained tensor and matrix factorization models allow to extract interpretable patterns from multiway data. Therefore crafting efficient algorithms for constrained low-rank approximations is nowadays an important research topic.
Jeremy E. Cohen
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Frontiers in Signal Processing, 2023 Independent component analysis (ICA) has been widely used for electroencephalography (EEG) analyses. However, ICA performance relies on several crucial assumptions about the data.
Hyeonseok Kim +8 more
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Lagrangian Inference for Ranking Problems
Operations Research, 2023 Understanding ranking orders of different items is of great importance in many applications such as sports, online game, and recommendation, among many others. This paper provides a novel approach to inferring the ranking systems. In particular, the paper aims to answer questions like, is item A better than item B?
Yue Liu, Ethan X. Fang, Junwei Lu
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Research on Microblog Diversification Retrieval Problem Based on Rank Learning Model [PDF]
Jisuanji gongcheng, 2017 Diversification retrieval is used to solve users’ information needs,which typically described by query phrase are often ambiguous and have more than one interpretation.This paper researches microblog diversification retrieval,and proposes a novel ...
WANG Ying,LUO Zhunchen,YU Yang
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Local Ranking Problem on the BrowseGraph [PDF]
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015 The "Local Ranking Problem" (LRP) is related to the computation of a centrality-like rank on a local graph, where the scores of the nodes could significantly differ from the ones computed on the global graph. Previous work has studied LRP on the hyperlink graph but never on the BrowseGraph, namely a graph where nodes are webpages and edges are browsing
Michele Trevisiol +3 more
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