Results 11 to 20 of about 75,217 (233)
A novel machine learning approach to analyzing geospatial vessel patterns using AIS data
GIScience & Remote Sensing, 2022 In the maritime environment, the Automatic Identification System (AIS) contains information related to vessel trajectories that can be used to detect unusual maritime occurrences and maritime traffic patterns.
Martha Dais Ferreira +2 more
doaj +1 more source
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator [PDF]
arXiv.org, 2022 Large-scale pre-trained language models (PLMs) are well-known for being capable of solving a task simply by conditioning a few input-label pairs dubbed demonstrations on a prompt without being explicitly tuned for the desired downstream task.
Hyuhng Joon Kim +5 more
semanticscholar +1 more source
Asymmetry tests for bifurcating auto-regressive processes with missing data [PDF]
Statistics & Probability Letters, 2012 We present symmetry tests for bifurcating autoregressive processes (BAR) when some data are missing. BAR processes typically model cell division data. Each cell can be of one of two types \emph{odd} or \emph{even}. The goal of this paper is to study the possible asymmetry between odd and even cells in a single observed lineage.
de Saporta, Benoîte +2 more
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On Tail Dependence and Multifractality
Mathematics, 2020 We study whether, and if yes then how, a varying auto-correlation structure in different parts of distributions is reflected in the multifractal properties of a dynamic process.
Krenar Avdulaj, Ladislav Kristoufek
doaj +1 more source
Large-Scale Auto-Regressive Modeling Of Street Networks [PDF]
arXiv.org, 2022 We present a novel generative method for the creation of city-scale road layouts. While the output of recent methods is limited in both size of the covered area and diversity, our framework produces large traversable graphs of high quality consisting of ...
Michael Birsak +3 more
semanticscholar +1 more source
One-Shot Bipedal Robot Dynamics Identification With a Reservoir-Based RNN
IEEE Access, 2023 The nonlinear inverted pendulum model of a lightweight bipedal robot is identified in real-time using a reservoir-based Recurrent Neural Network (RNN). The adaptation occurs online, while a disturbance force is repeatedly applied to the robot body.
Michele Folgheraiter +2 more
doaj +1 more source
Modeling Method of Human Motion Based on Dynamic Forest Model [PDF]
Jisuanji gongcheng, 2016 Aiming at the disadvantages that the existing modeling methods of human motion cannot be applied at the general nonlinear and non-Gaussian cases,based on the Markoff model,an improved modeling method of human motion is proposed.The Markov process of ...
SUN Li
doaj +1 more source
Effect of the COVID-19 pandemic on the number of deaths in Peru: 2017.03-2020.07
Semestre Economico, 2021 The objective of the research is to estimate the excess deaths during the COVID-19 epidemic in Peru. The methodology used for the ARMA models with structural with a structural change in mean. In the first place, the results show that the behavior of the
Rene-Paz Paredes
doaj +1 more source
Relay transmission under mobile edge computing in energy-limited networks with real-time constraints
Journal of Algorithms & Computational Technology, 2020 For energy-limited networks with real-time constraints, long-distance transmission, complex calculations, and limited delay are problems to be faced in service applications.
Guilu Wu +3 more
doaj +1 more source
Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes [PDF]
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005 We present a framework for the classification of visual processes that are best modeled with spatio-temporal autoregressive models. The new framework combines the modeling power of a family of models known as dynamic textures and the generalization guarantees, for classification, of the support vector machine classifier. This combination is achieved by
A.B. Chan, N. Vasconcelos
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