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A Min-Max . . . Functions and Its Implications [PDF]
, 2014 A. Huber and V. Kolmogorov (ISCO 2012) introduced a concept of k-submodular function as a generalization of ordinary submodular (set) functions and bisubmodular functions and obtained a min-max theorem for minimization of k-submodular functions.
Satoru Fujishige, Shin-ichi Tanigawa
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Team Composition in PES2018 Using Submodular Function Optimization
IEEE Access, 2019 With the development of computer game technologies, gameplay becomes very realistic in many sports games, therefore providing appealing play experience to game players.
Yifeng Zeng +3 more
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International Journal of Distributed Sensor Networks, 2021 In this article, we consider the problem of optimally selecting a subset of transmitters from a transmitter set available to a multiple-input and multiple-output radar network.
Chenggang Wang +3 more
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Horn functions and submodular boolean functions
Theoretical Computer Science, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ekin, Oya +2 more
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Near Optimal Dynamic Mobile Advertisement Offloading With Time Constraints
IEEE Access, 2019 Owing to the accuracy and flexibility, mobile advertising has become a very attractive marketing method based on smart mobile terminals. The more common mobile advertisement distribution methods are based on location and content.
Wanru Xu, Chaocan Xiang, Chang Tian
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Sparse Submodular Function Minimization
2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS), 2023 Accepted to FOCS ...
Graur, Andrei +2 more
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A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation
IEEE Access, 2023 In the domain of text classification, imbalanced datasets are a common occurrence. The skewed distribution of the labels of these datasets poses a great challenge to the performance of text classifiers.
Eyor Alemayehu, Yi Fang
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NeuSub: A Neural Submodular Approach for Citation Recommendation
IEEE Access, 2021 Citation recommendation is a task that aims to automatically select suitable references for a working manuscript. This task has become increasingly urgent as the typical pools of candidates continue to grow, in the order of tens or hundreds of thousands ...
Binh Thanh Kieu +4 more
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Symmetric Submodular Function Minimization Under Hereditary Family Constraints
, 2010 We present an efficient algorithm to find non-empty minimizers of a symmetric submodular function over any family of sets closed under inclusion. This for example includes families defined by a cardinality constraint, a knapsack constraint, a matroid ...
Goemans, Michel X., Soto, José A.
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Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks
IEEE Access, 2019 Crowd psychology is a critical factor when considering information diffusion, which has been modeled as composed influence. The composed influence is represented as a hyperedge in a graph model.
Jianming Zhu +3 more
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