Results 41 to 50 of about 1,993,029 (278)
Weighted k-Nearest-Neighbor Techniques and Ordinal Classification [PDF]
, 2004 In the field of statistical discrimination k-nearest neighbor classification is a well-known, easy and successful method. In this paper we present an extended version of this technique, where the distances of the nearest neighbors can be taken into ...
Schliep, Klaus +3 more
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Teaching Ordinal Patterns to a Computer: Efficient Encoding Algorithms Based on the Lehmer Code
Entropy, 2019 Ordinal patterns are the common basis of various techniques used in the study of dynamical systems and nonlinear time series analysis. The present article focusses on the computational problem of turning time series into sequences of ordinal patterns. In
Sebastian Berger +3 more
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On Quasi Ordinal Diagram Systems [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 The purposes of this note are the following two; we first generalize Okada-Takeuti's well quasi ordinal diagram theory, utilizing the recent result of Dershowitz-Tzameret's version of tree embedding theorem with gap conditions.
Mitsuhiro Okada, Yuta Takahashi
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Generalized ordinal patterns allowing for ties and their applications in hydrology
Computational Statistics & Data Analysis, 2022 When using ordinal patterns, which describe the ordinal structure within a data vector, the problem of ties appeared permanently. So far, model classes were used which do not allow for ties; randomization has been another attempt to overcome this problem. Often, time periods with constant values even have been counted as times of monotone increase.
Alexander Schnurr, Svenja Fischer
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Ordinal Ridge Regression with Categorical Predictors [PDF]
, 2011 In multi-category response models categories are often ordered. In case of ordinal response models, the usual likelihood approach becomes unstable with ill-conditioned predictor space or when the number of parameters to be estimated is large relative to ...
Zahid, Faisal Maqbool
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Ordinal Classification: Working Definition and Detection of Ordinal Structures
IEEE Access, 2020 Ordinal classification (OC) is an important niche of supervised pattern recognition, in which the classes constitute an ordinal structure. In general, the ordinal structure can be identified, either according to the natural occurrence of the current task
Peter Bellmann, Friedhelm Schwenker
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Entropy, 2023 Individual subjects’ ratings neither are metric nor have homogeneous meanings, consequently digital- labeled collections of subjects’ ratings are intrinsically ordinal and categorical.
Emanuela Furfaro, Fushing Hsieh
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Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023 We introduce a generalization of the celebrated ordinal pattern approach for the analysis of time series, in which these are evaluated in terms of their distance to ordinal patterns defined in a continuous way. This allows us to naturally incorporate information about the local amplitude of the data and to optimize the ordinal pattern(s) to the problem
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Ordered samples control charts for ordinal variables [PDF]
, 2005 The paper presents a new method for statistical process control when ordinal variables are involved. This is the case of a quality characteristic evaluated by an ordinal scale.
Franceschini, Fiorenzo +3 more
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Rhesus Monkeys Have a Counting Ability and Can Count from One to Six
Brain Sciences, 2021 Counting ability is one of the many aspects of animal cognition and has enjoyed great interest over the last couple of decades. The impetus for studying counting ability in nonhuman animals has likely come from more than a general interest in animal ...
Weiming Sun, Baoming Li, Chaolin Ma
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