Results 11 to 20 of about 858,759 (313)
Uncertainty in measurements of distance [PDF]
5 pages ...
Baez, John C., Olson, S. Jay
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Distance Measures for Geometric Graphs
A geometric graph is a combinatorial graph, endowed with a geometry that is inherited from its embedding in a Euclidean space. Formulation of a meaningful measure of (dis-)similarity in both the combinatorial and geometric structures of two such geometric graphs is a challenging problem in pattern recognition.
Sushovan Majhi, Carola Wenk
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Entropy, Similarity Measure, Inclusion Measure of Intuitionistic Fuzzy Sets and Their Relationships [PDF]
In the present paper, we introduce a new axiomatic definition of the inclusion measure for intuitionistic fuzzy sets (IFSs, for short). The close relationships among entropy, similarity measure, and inclusion measure of IFSs are then discussed in detail.
Qiansheng Zhang, Hongyan Xing, Lihua Wu
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Phonological Distance Measures* [PDF]
Phonological distance can be measured computationally using formally specified algorithms. This work investigates two such measures, one developed by Nerbonne and Heeringa (1997) based on Levenshtein distance (Levenshtein, 1965) and the other an adaptation of Dunning's (1994) language classifier that uses maximum likelihood distance. These two measures
Nathan C. Sanders, Steven B. Chin
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Compression-Complexity Measures for Analysis and Classification of Coronaviruses
Finding a vaccine or specific antiviral treatment for a global pandemic of virus diseases (such as the ongoing COVID-19) requires rapid analysis, annotation and evaluation of metagenomic libraries to enable a quick and efficient screening of nucleotide ...
Naga Venkata Trinath Sai Munagala +4 more
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A cognitively grounded measure of pronunciation distance. [PDF]
In this study we develop pronunciation distances based on naive discriminative learning (NDL). Measures of pronunciation distance are used in several subfields of linguistics, including psycholinguistics, dialectology and typology.
Martijn Wieling +5 more
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A fuzzy directional distance measure [PDF]
Proceedings of the 2014 World Congress on Computational Intelligence (WCCI 2014), pp.
Josie C. McCulloch +3 more
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A generalized hybrid distance measure for SVNS with an application in medical diagnosis [PDF]
A generalized hybrid distance measure of a single value neutrosophic set (SVNS) is proposed to analyze the patient’s factors and diseases. Since Neutrosophic Set (NS) may communicate contradictory and ambiguous information, it is a crucial and useful ...
Florentin Smarandache +5 more
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The search for soybean genotypes more adapted to abiotic stress conditions is essential to boost the development and yield of the crop in Brazil and worldwide. In this research, we propose a new approach using the concept of distance (or similarity) in a
Bruno Rodrigues de Oliveira +6 more
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Bhattacharyya’s distance measure as a precursor of genetic distance measures
In Population Genetics, two populations are distinguished from each other on the basis of the differences in the distributions of the alleles at the locus or loci under consideration. These differences are measured by a “genetic distance” between the two populations (not to be confused with genetic distance between two loci, which is based on ...
Aparna, Chattopadhyay +2 more
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