Results 91 to 100 of about 189,358 (175)
Ordinal Pattern Kernel for Brain Connectivity Network Classification
10 pages, 3 ...
Ma, Kai, Jie, Biao, Zhang, Daoqiang
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Ordinal pattern probabilities for symmetric random walks
23 pages, 4 figures, 1 table. Some minor edits.
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Technical support for creating an artificial intelligence system for feature extraction and experimental design [PDF]
Techniques for classifying objects into groups or clases go under many different names including, most commonly, cluster analysis. Mathematically, the general problem is to find a best mapping of objects into an index set consisting of class identifiers.
Glick, B. J.
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Augmenting Granger Causality through continuous ordinal patterns
Peer ...
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The multiple regression model statistical technique is employed to analyze the relationship between the dependent variable and several independent variables.
Autcha Araveeporn
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Complexity Analysis of Environmental Time Series
Small, forested catchments are prototypes of terrestrial ecosystems and have been studied in several disciplines of environmental science over several decades.
Holger Lange, Michael Hauhs
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Ordinal pattern dependence and multivariate measures of dependence
Ordinal pattern dependence has been introduced in order to capture co-monotonic behavior between two time series. This concept has several features one would intuitively demand from a dependence measure. It was believed that ordinal pattern dependence satisfies the axioms which Grothe et al. (Journal of Multivariate Analysis 123, 2014) proclaimed for a
Silbernagel, Angelika +1 more
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Quantifying the irregularity of a time series
We introduce circulance, a scalar measure for classifying time series of dynamical systems. Circulance captures the extent of temporal regularity or irregularity that is encoded in the topology of a directed ordinal pattern transition network derived ...
Max Potratzki +3 more
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Atom's Dynamics and Crystal Structure: An Ordinal Pattern Method. [PDF]
Abram R, Nowak R, Chrobak D.
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Exploring the Guessing-Game Experimental Paradigm: Inferences From Closed- Versus Open-Ended Semantic Space. [PDF]
Kuleshova S +8 more
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