Results 61 to 70 of about 9,676,389 (199)
Using Neural Networks to Maximize a Submodular Function [PDF]
It is accurate to say that optimization plays a huge role in the field of machine learning. Majority of the machine learning problems can be reduced to optimization problems and having the ability to solve such group of optimization problems be- comes ...
Hu, Wenxiu
core +1 more source
Queue-Aware Cell Activation and User Association for Traffic Offloading via Dual-Connectivity
With the objective of reducing energy cost, we study the stochastic optimization of traffic off-loading via dual-connectivity by joint cell activation and user association.
Qiaoni Han, Bo Yang, Xiaocheng Wang
doaj +1 more source
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen +5 more
wiley +1 more source
Polymatroidal tilings and the Chow class of linked projective spaces
Abstract Linked projective spaces are quiver Grassmannians of constant dimension one of certain quiver representations, called linked nets, over certain quivers, called Zn$\mathbb {Z}^n$‐quivers. They were recently introduced as a tool for describing schematic limits of families of divisors.
Felipe de Leon, Eduardo Esteves
wiley +1 more source
Parallel Submodular Function Minimization [PDF]
We consider the parallel complexity of submodular function minimization (SFM). We provide a pair of methods which obtain two new query versus depth trade-offs a submodular function defined on subsets of $n$ elements that has integer values between $-M ...
Graur, Andrei +3 more
core +1 more source
A Decentralised Coordination Algorithm for Maximising Sensor Coverage in Large Sensor Networks
In large wireless sensor networks, the problem of assigning radio frequencies to sensing agents such that no two connected sensors are assigned the same value (and will thus interfere with one another) is a major challenge.
Jennings, Nick +2 more
core +1 more source
Assortative Matching on Income
We analyze marital matching on income using an extremely rich Dutch data set containing all income tax files over seven years. We develop a novel methodology that directly extends previous contributions to allow for highly flexible matching patterns. Investigating all marriages that took place between 2013 and 2019, we find that marital patterns are ...
Pierre‐André Chiappori +3 more
wiley +1 more source
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source
Prize-collecting set multicovering with submodular pricing
International audienceWe consider a ground set E and a submodular function f : 2 E → R acting on it. We first propose a Set Multi-Covering problem in which the value (price) of any S ⊆ E is f (S).
Daniel Porumbel +2 more
core +1 more source
The submodular knapsack polytope [PDF]
The submodular knapsack set is the discrete lower level set of a submodular function. The modular case reduces to the classical linear 0–1 knapsack set.
ATAMTURK, A +3 more
core +1 more source

