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NonSTOP: A NonSTationary Online Prediction Method for Time Series
[article]
2018
arXiv
pre-print
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Moreover, since these transformations are usually unknown, we employ the learning with experts setting to develop a fully online method (NonSTOP-NonSTationary Online Prediction) for predicting nonstationary ...
We present online prediction methods for time series that let us explicitly handle nonstationary artifacts (e.g. trend and seasonality) present in most real time series. ...
for time series prediction. ...
arXiv:1611.02365v4
fatcat:ir3z4gceazbc5gj7ckxrsns3wa
The Complementary Importance of Static Structure and Temporal Dynamics in Teamwork Communication
2018
Human Communication Research
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These findings have implications both for theorizing and methodologically measuring communication as a dynamic process, as well as for the practical design of online collaboration systems. ...
Communicative exchanges consist of a certain degree of both static and dynamic structure that can be used for prediction. Temporal dynamics are often neglected in communication studies. ...
, Grace Benefield, Harrison Hughes, and reviewers of IC2S2 for helpful comments. ...
doi:10.1093/hcr/hqy008
fatcat:jy5mirxbpbcmpfoxgvoebcngdi
Detection and Processing Techniques of FECG Signal for Fetal Monitoring
2009
Biological Procedures Online
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A comparative study has been carried out to show the performance and accuracy of various methods of FECG signal analysis for fetal monitoring. ...
This paper opens up a passage for researchers, physicians, and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system. ...
Acknowledgement The authors would like to express sincere gratitude to the Ministry of Science, Technology, and Innovation of Malaysia for providing fund for the research under eScienceFund grant (project ...
doi:10.1007/s12575-009-9006-z
pmid:19495912
pmcid:PMC3055800
fatcat:xhz6lrvxpjeyjfkub7bbv6rqlq
Dynamic-Parameter Movement Models Reveal Drivers of Migratory Pace in a Soaring Bird
2019
Frontiers in Ecology and Evolution
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Behavioral budgets were complex, however, with evidence for a joint migrating/foraging behavior, resembling a slower paced fly-andforage migration, which could facilitate efficient refueling while still ...
The novel modeling framework incorporated time-varying parameters informed by environmental covariates to characterize a continuous range of behaviors during migration. ...
As many migrant species cannot store sufficient energy for nonstop, long-distance migration, stopover evolved as a behavior for strategically resting and refueling en route (Gill, 2007) . ...
doi:10.3389/fevo.2019.00317
fatcat:xb7e2hjn7vhovevpxunkbl5yl4
Development and Verification of the Diagnostic Model of the Sieving Screen
2020
Shock and Vibration
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Besides the main periodic motion, the model accounts for stochastic alpha-stable distributed impacts from the material. ...
However, strong cyclic components from the unbalanced exciters and stochastic disturbances from the input stream and vibrating pieces of the material make analysis a not trivial task. ...
Acknowledgments is activity has received funding from the European Institute of Innovation and Technology (EIT), a body of the European Union, under the Horizon 2020, the EU Framework Programme for Research ...
doi:10.1155/2020/8015465
fatcat:rd77lttbpjhtfhfjnmhhvq4zge
Cliques and a new measure of clustering: with application to U.S. domestic airlines
[article]
2020
arXiv
pre-print
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We propose a higher-order generalization of the well-known overall clustering coefficient for triples C(3) to any number of nodes. ...
We give analytic formulae for the special cases of three, four, and five nodes and show that they have very fast runtime performance for small graphs. ...
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. ...
arXiv:1806.05866v3
fatcat:5ibuytxtbrf3zcbshfvqc65rwm
Basic Classes in Conceptual Modeling: Theory and Practical Guidelines
2020
Journal of the AIS
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Based on this research, we formulate principles for identifying basic classes in a domain. ...
Yet, as more IS are developed to support a larger diversity of users such as customers, suppliers, and members of the general public (e.g., in the case of many multiuser online systems), analysts can no ...
We also wish to thank the focus group participants for making time to participate in the focus groups and for their insightful comments during the focus groups. ...
doi:10.17705/1jais.00627
fatcat:g2cxsuw2ovffvcf5mvmhcvru54
Acoustics of ancient Greek and Roman theaters in use today
2006
Journal of the Acoustical Society of America
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In our study, a classification method of nonstationary sounds using sinusoidal decomposition is proposed. ...
A number of pairs of microphones give a series of CSP correlation coefficients as a function of the time delay. ...
-8573, Japan͒ Ocean acoustic tomography ͑OAT͒ is a valuable method for observations of oceanographic phenomena over wide areas. ...
doi:10.1121/1.4787803
fatcat:3lczeegofreblpjmfixt7gdxv4
Fault Detection Of Imbalanced Data Using Incremental Clustering
International Research Journal of Engineering and Technology (IRJET)
unpublished
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To maximize the accuracy, time, and memory for this we proposed a feature selection algorithm for better performance of classification and fault detection. ...
detection from data is applied for only majority classes and less for minority classes. ...
The problem exists in real world applications including time series analysis or some industrial process. One Class Support Vector Machines proves efficient in nonstationary classification problem. ...
fatcat:jfvbyen7djbsfccimexh6n2fbm
14th International Symposium on Mathematical Programming
1990
Mathematical programming
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to the well known serious steps und null steps of bundle methods a third type of steps is used to generate the model of dom . ...
A v ariation of bundle methods is presented by means of which such a t ype of problems can be solved.In this variation a dynamic polyhedral model of dom is generated by means of normal vectors.In addition ...
It gives comparable with the use of specialized methods results and is e ective in nonlinear case. The perspectives of use nonsmooth optimization methods in time series analisys are also discussed. ...
doi:10.1007/bf01580875
fatcat:3jtclwmntzgjxkqs5uecombdaa
Estimating Dependences and Risk between Gold Prices and S&P500: New Evidences from ARCH,GARCH, Copula and ES-VaR models
2022
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Since, the measures of volatility methods have limitations that they can measure single security at a time, the second empirical chapter measures the interdependence of stock and commodity (S&P500 and ...
method. ...
Vector Error Correct Model (VECM) Nonstationary series that are known to be cointegrated may be modelled using a vector error correction (VEC) model. ...
doi:10.18744/lsbu.927zw
fatcat:sepndu7m7rawbgiuzx6d3hxqry
APPROVAL OF GEORGE W. BUSH: ECONOMIC AND MEDIA IMPACTS
2011
unpublished
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My Model for Approval and Its Relationships My study is a multivariate time series model for predicting presidential approval. ...
Then my other variables are able to predict the month to month changes in presidential approval. time series analysis, I use time series methods to study the relationships between my independent variables ...
fatcat:pxswsvdwa5c37ediwasezwsuq4