Results 81 to 90 of about 291 (165)
We start with an overview of a class of submodular functions called SCMMs (sums of concave composed with non-negative modular functions plus a final arbitrary modular). We then define a new class of submodular functions we call {\em deep submodular functions} or DSFs. We show that DSFs are a flexible parametric family of submodular functions that share
Jeffrey A. Bilmes, Wenruo Bai
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A Mutual Independent Cascade Model for Customer Behavior Propagation
Model of spreading behaviors, influences, new trends and innovations through social networks has been studied in a number of domains. These may include the diffusion of medical and technological innovations, the sudden and widespread adoption of ...
Ali Nazemian, Fattaneh Taghiyareh
doaj
The submodular knapsack polytope
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ATAMTURK, A, NARAYANAN, V
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Consistent Submodular Maximization
Maximizing monotone submodular functions under cardinality constraints is a classic optimization task with several applications in data mining and machine learning. In this paper we study this problem in a dynamic environment with consistency constraints: elements arrive in a streaming fashion and the goal is maintaining a constant approximation to the
Dutting P. +4 more
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Multivariate Submodular Optimization
arXiv admin note: text overlap with arXiv:1803 ...
Richard Santiago, F. Bruce Shepherd
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Efficient Sensor Node Selection for Observability Gramian Optimization. [PDF]
Yamada K +5 more
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Extremality of submodular functions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Submodular Welfare Maximization
An overview of different variants of the submodular welfare maximization problem in combinatorial auctions. In particular, I studied the existing algorithmic and game theoretic results for submodular welfare maximization problem and its applications in other areas such as social networks.
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On the firefighter problem with spreading vaccination for maximizing the number of saved nodes: the IP model and LP rounding algorithms. [PDF]
Yang Y, Chen PA, Lee YC, Fanchiang YY.
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The generalized influence blocking maximization problem. [PDF]
Erd FC, Vignatti AL, Silva MVGD.
europepmc +1 more source

