Results 41 to 50 of about 13,098 (239)
Fast and exact search for the partition with minimal information loss. [PDF]
In analysis of multi-component complex systems, such as neural systems, identifying groups of units that share similar functionality will aid understanding of the underlying structures of the system.
Shohei Hidaka, Masafumi Oizumi
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Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise
Optimization of sensor selection has been studied to monitor complex and large-scale systems with data-driven linear reduced-order modeling. An algorithm for greedy sensor selection is presented under the assumption of correlated noise in the sensor ...
Keigo Yamada +3 more
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Team Composition in PES2018 Using Submodular Function Optimization
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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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
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ekin, Oya +2 more
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A Min-Max . . . Functions and Its Implications [PDF]
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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Near Optimal Dynamic Mobile Advertisement Offloading With Time Constraints
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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A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation
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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Sparse Submodular Function Minimization
Accepted to FOCS ...
Graur, Andrei +2 more
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NeuSub: A Neural Submodular Approach for Citation Recommendation
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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