Results 1 to 10 of about 5,294,124 (256)
Quantum Distance Measures Based upon Classical Symmetric Csiszár Divergences [PDF]
Entropy, 2023 We introduce a new family of quantum distances based on symmetric Csiszár divergences, a class of distinguishability measures that encompass the main dissimilarity measures between probability distributions.
Diego G. Bussandri, Tristán M. Osán
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Robust Distance Measures for NN Classification of Cancer Data [PDF]
Cancer Informatics, 2020 The k -Nearest Neighbor ( k NN) classifier represents a simple and very general approach to classification. Still, the performance of k NN classifiers can often compete with more complex machine-learning algorithms.
Rezvan Ehsani, Finn Drabløs
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Interrelations of graph distance measures based on topological indices. [PDF]
PLoS ONE, 2014 In this paper, we derive interrelations of graph distance measures by means of inequalities. For this investigation we are using graph distance measures based on topological indices that have not been studied in this context.
Matthias Dehmer +2 more
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On Distance-Based Attribute Reduction With
IEEE Access, 2023 Attribute reduction, often referred to as feature selection, is a vital step in data preprocessing aimed at eliminating unnecessary attributes and enhancing the efficiency of classification models.
Pham Viet Anh +3 more
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Norms and Delta-Equalities of Complex Neutrosophic Sets [PDF]
Neutrosophic Sets and Systems, 2022 The purpose of this paper is to put forward the basics results of complex fuzzy sets (CFSs) such as union, intersection, complement, product into complex neutrosophic sets because as the CFSs and complex intuitionistics sets does give the erroneous and ...
Madad Khan +4 more
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Biology, 2023 Predictive models based on empirical similarity are instrumental in biology and data science, where the premise is to measure the likeness of one observation with others in the same dataset.
Jeniffer D. Sanchez +5 more
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Quantitative Methods for Analyzing Second Language Lexical Tone Production
Languages, 2023 The production of L2 lexical tone has proven difficult for learners of tonal languages, leading to the testing of different tone training techniques. To test the validity of these techniques, it is first necessary to capture the differences between L1 ...
Alexis Zhou, Daniel J. Olson
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Lessons Learned From the Training of GANs on Artificial Datasets
IEEE Access, 2020 Generative Adversarial Networks (GANs) have made great progress in synthesizing realistic images in recent years. However, they are often trained on image datasets with either too few samples or too many classes belonging to different data distributions.
Shichang Tang
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An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction
IEEE Access, 2021 The construction of fuzzy conditional relations has been considered in Raha’s similarity-based inference schema, but inappropriate conclusions will be drawn in some cases due to the use of a single modification function.
Ziquan Jiao +4 more
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IEEE Access, 2020 A time series is a sequence of observations that a variable takes with respect to times. It has a wide range of applications in decision making and forecasting in economics, agriculture, medicine, industry, energy sector and other scientific fields. Time
Shahbaz G Hassan +5 more
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