Results 61 to 70 of about 291 (165)
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 396-410, April 2026.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
Journal of Intelligent Systems and Applied Data ScienceShapley values for feature attribution suffer from high variance requiring thousands of model evaluations. We introduce Orthogonal Permutation Sampling (OPS), achieving provable variance reduction through: (i) exact position stratification, (ii ...
YASH VARSHNEY, RANAV TYAGI, ANURAG SINHA
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
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
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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
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
On the Reducibility of Submodular Functions
CoRR, 2016 The scalability of submodular optimization methods is critical for their usability in practice. In this paper, we study the reducibility of submodular functions, a property that enables us to reduce the solution space of submodular optimization problems without performance loss. We introduce the concept of reducibility using marginal gains.
Jincheng Mei, Hao Zhang, Bao-Liang Lu
openaire +3 more sources
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
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.ABSTRACT This paper presents a two‐level hierarchical adaptive damping control strategy designed to robustly mitigate inter‐area low‐frequency oscillations (LFOs) in large‐scale power systems featuring high shares of doubly‐fed induction generator (DFIG) wind farms. The proposed structure integrates a central wide‐area damping controller (WADC), driven
Mohsen Darabian +4 more
wiley +1 more source
Multipass Target Search in Natural Environments
Sensors, 2017 Consider a disaster scenario where search and rescue workers must search difficult to access buildings during an earthquake or flood. Often, finding survivors a few hours sooner results in a dramatic increase in saved lives, suggesting the use of drones ...
Michael J. Kuhlman +3 more
doaj +1 more source