L1-distance and classification problem by Bayesian method

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Cite
Vovan, Tai. “L1-Distance and Classification Problem by Bayesian Method”. Journal of Applied Statistics, vol. 44, no. 3, 2016, pp. 385-01, https://doi.org/10.1080/02664763.2016.1174194.
Vovan, T. (2016). L1-distance and classification problem by Bayesian method. Journal of Applied Statistics, 44(3), 385-401. https://doi.org/10.1080/02664763.2016.1174194
Vovan, Tai. “L1-Distance and Classification Problem by Bayesian Method”. Journal of Applied Statistics 44, no. 3 (2016): 385-401. https://doi.org/10.1080/02664763.2016.1174194.
Vovan T. L1-distance and classification problem by Bayesian method. Journal of Applied Statistics. 2016;44(3):385-401.
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Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Use of Distance Measure, Information Measure and Error Bounds in Feature Evaluation 1982
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Citations
Title Journal Journal Categories Citations Publication Date
Classifying for interval and applying for image based on the extracted texture feature Granular Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
 2024
Classifying for images based on the extracted probability density function and the quasi Bayesian method Computational Statistics
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 1 2023
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  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2023
Improving Bayesian Classifier Using Vine Copula and Fuzzy Clustering Technique Annals of Data Science 2023
Building the classification model based on the genetic algorithm and the improved Bayesian method International Journal of Data Science and Analytics
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Science: Mathematics8
Science: Science (General): Cybernetics: Information theory5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Technology: Engineering (General). Civil engineering (General)4
Science: Mathematics: Probabilities. Mathematical statistics4
Technology: Manufactures: Production management. Operations management3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Mechanical engineering and machinery2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Science2
Technology: Chemical technology: Biotechnology1
Medicine: Medicine (General): Medical technology1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 9 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Classifying Two Populations by Bayesian Method and Applications and was published in 2018. The most recent citation comes from a 2024 study titled Classifying for interval and applying for image based on the extracted texture feature. This article reached its peak citation in 2023, with 6 citations. It has been cited in 17 different journals, 11% of which are open access. Among related journals, the Granular Computing cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year