Results 1 to 10 of about 2,559 (193)
Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Objective: Between-session non-stationarity is a major challenge of current Brain-Computer Interfaces (BCIs) that affects system performance. In this paper, we investigate the use of channel selection for reducing between-session non-stationarity with ...
Khadijeh Sadatnejad, Fabien Lotte
doaj +2 more sources
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization [PDF]
Journal of Machine Learning Research, 2024, 2021 We investigate online convex optimization in non-stationary environments and choose dynamic regret as the performance measure, defined as the difference between cumulative loss incurred by the online algorithm and that of any feasible comparator sequence.
Peng Zhao +3 more
arxiv +3 more sources
Non-Stationarity in Multisensory Neurons in the Superior Colliculus [PDF]
Frontiers in Psychology, 2011 The superior colliculus (SC) integrates information from multiple sensory modalities to facilitate the detection and localization of salient events. The efficacy of multisensory integration is traditionally measured by comparing the magnitude of the ...
Thomas J Perrault +2 more
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High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection [PDF]
arXiv, 2023 We consider a high-dimensional dynamic pricing problem under non-stationarity, where a firm sells products to $T$ sequentially arriving consumers that behave according to an unknown demand model with potential changes at unknown times. The demand model is assumed to be a high-dimensional generalized linear model (GLM), allowing for a feature vector in $
Zifeng Zhao, Feiyu Jiang, Yi Yu, Xi Chen
arxiv +3 more sources
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control [PDF]
PeerJ Computer Science, 2021 In reinforcement learning (RL), dealing with non-stationarity is a challenging issue. However, some domains such as traffic optimization are inherently non-stationary. Causes for and effects of this are manifold.
Lucas N. Alegre +2 more
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Modifications to a rainfall-streamflow model to handle "non-stationarity" [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 This paper explores the variation in hydrological response (often termed as non-stationarity, though this is not necessarily the correct use in the statistical meaning of this term) through time for the Bani catchment in Africa (mostly located in Mali)
B. F. W. Croke +3 more
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Image Analysis and Stereology, 2014 This paper represents a survey of recent advances in modeling of space or space-time Gaussian Random Fields (GRF), tools of Geostatistics at hand for the understanding of special cases of noise in image analysis.
Pablo Gregori, Emilio Porcu, Jorge Mateu
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MIRA: Model-Based Imagined Rollouts Augmentation for Non-Stationarity in Multi-Agent Systems [PDF]
Mathematics, 2022 One of the challenges in multi-agent systems comes from the environmental non-stationarity that policies of all agents are evolving individually over time. Many existing multi-agent reinforcement learning (MARL) methods have been proposed to address this
Haotian Xu +4 more
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External drivers of BOLD signal’s non-stationarity
PLoS ONE, 2022 A fundamental challenge in neuroscience is to uncover the principles governing how the brain interacts with the external environment. However, assumptions about external stimuli fundamentally constrain current computational models. We show in silico that
Arian Ashourvan +5 more
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Quantifying Non-Stationarity with Information Theory
Entropy, 2021 We introduce an index based on information theory to quantify the stationarity of a stochastic process. The index compares on the one hand the information contained in the increment at the time scale τ of the process at time t with, on the other hand ...
Carlos Granero-Belinchón +2 more
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