Results 91 to 100 of about 1,352 (208)
Constrained robust submodular sensor selection with application to multistatic sonar arrays
IET Radar, Sonar & Navigation, 2017 The authors develop a framework to select a subset of sensors from a field in which the sensors have an ingrained independence structure. Given an arbitrary independence pattern, the authors construct a graph that denotes pairwise independence between ...
Thomas Powers +3 more
doaj +1 more source
Fossil Fuels and Renewable Energy: Mix or Match?
The RAND Journal of Economics, Volume 57, Issue 1, Page 140-157, Spring 2026.ABSTRACT This article investigates the influence of technological ownership on pricing strategies and productive efficiency. Our motivation comes from the evolving landscape of electricity markets where firms are transitioning from diversified to specialized portfolios, focusing on renewable energy or fossil fuels.
Natalia Fabra, Gerard Llobet
wiley +1 more source
Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens
, 2021 A particularly important substructure in modeling joint linear chance-constrained programs with random right-hand sides and finite sample space is the intersection of mixing sets with common binary variables (and possibly a knapsack constraint).
Lee, Dabeen +5 more
core +1 more source
Complex influence propagation based on trust-aware dynamic linear threshold models
Applied Network Science, 2019 To properly capture the complexity of influence propagation phenomena in real-world contexts, such as those related to viral marketing and misinformation spread, information diffusion models should fulfill a number of requirements.
Antonio Caliò, Andrea Tagarelli
doaj +1 more source
Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.ABSTRACT In many real‐world applications of machine learning, we are interested to know if it is possible to train on the data that we have gathered so far, and obtain accurate predictions on a new test data subset that is qualitatively different in some respect (time period, geographic region, etc.).
Toby Dylan Hocking +5 more
wiley +1 more source
, 2012 We introduce revenue submodularity, the property that market expansion has diminishing returns on an auction’s expected revenue. We prove that revenue submodularity is generally possible only in matroid markets, that Bayesian-optimal auctions are always ...
Shaddin Dughmi +2 more
core
5G Base Station Site Selection Method for Network Coverage and User Demand [PDF]
Jisuanji gongchengThe 5G network is a new generation of mobile communication technology characterized by high speed, low latency, large bandwidth, and extensive connectivity, providing an infrastructure for numerous innovative and intelligent applications.
YUE Kun, HUANG Wenhui, WANG Jiahui, YANG Peizhong, YANG Xi, DUAN Liang
doaj +1 more source
Game‐Theoretic Multi‐Agent Dynamic Traffic Assignment Using Congestion‐Aware Adaptive Learning
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper proposes a novel game‐theoretic multi‐agent framework for dynamic traffic assignment problems, integrating congestion‐aware adaptive learning to simultaneously reduce individual travel time and improve overall network efficiency under dynamic congestion.
Dandan Wu +4 more
wiley +1 more source
A note on the submodular vertex cover problem with submodular penalties
Theoretical Computer Science, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Submodularity of storage placement optimization in power networks
, 2019 In this paper, we consider the problem of placing energy storage resources in a power network when all storage devices are optimally controlled to minimize system-wide costs.
Qin, Junjie +3 more
core +1 more source