Results 41 to 50 of about 1,909,109 (209)
Submodular Optimization in the MapReduce Model [PDF]
Submodular optimization has received significant attention in both practice and theory, as a wide array of problems in machine learning, auction theory, and combinatorial optimization have submodular structure.
Vondrak, Jan, Liu, Paul
core +1 more source
The ability to integrate information in the brain is considered to be an essential property for cognition and consciousness. Integrated Information Theory (IIT) hypothesizes that the amount of integrated information ( Φ ) in the brain is related to ...
Jun Kitazono +2 more
doaj +1 more source
Submodular Optimization under Noise
We consider the problem of maximizing a monotone submodular function under noise. There has been a great deal of work on optimization of submodular functions under various constraints, resulting in algorithms that provide desirable approximation guarantees.
Avinatan Hassidim, Yaron Singer
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Multivariate Submodular Optimization
arXiv admin note: text overlap with arXiv:1803 ...
Richard Santiago, F. Bruce Shepherd
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An optimization problem for continuous submodular functions [PDF]
"Real continuous submodular functions, as a generalization of the corresponding discrete notion to the continuous domain, gained considerable attention recently. The analog notion for entropy functions requires additional properties: a real function defined on the non-negative orthant of $\R^n$ is entropy-like (EL) if it is submodular, takes zero at ...
openaire +2 more sources
Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems
To meet the ultra-low latency and ultra-high reliability requirements of users in the future mobile Internet, the wireless caching technology was combined with Cell-Free massive MIMO systems.The caching model was designed based on AP cooperative caching ...
Rui WANG, Min SHEN, Yun HE, Xiangyan LIU
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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
doaj +1 more source
Streaming Algorithms for Non-Submodular Maximization on the Integer Lattice
Many practical problems emphasize the importance of not only knowing whether an element is selected but also deciding to what extent it is selected, which imposes a challenge on submodule optimization.
Jingjing Tan +3 more
doaj +1 more source
Constrained submodular optimization and applications in information diffusion [PDF]
Optimization problems involving submodular functions naturally arise in various application domains such as Information Diffusion, Machine Learning, and Sensor Placement.
Rajagopal Padmanabhan, Madhavan
core +1 more source
Toward Optimal Placement of Spatial Sensors to Detect Poisson-Distributed Targets
This paper addresses the challenges of optimally placing a finite number of sensors to detect Poisson-distributed targets in a bounded domain. We seek to rigorously account for uncertainty in the target arrival model throughout the problem.
Mingyu Kim +5 more
doaj +1 more source

