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Academic literature on the topic 'Nominal distance'
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Journal articles on the topic "Nominal distance"
Williamson, Craig A., and Leon N. McLin. "Nominal ocular dazzle distance (NODD)." Applied Optics 54, no. 7 (2015): 1564. http://dx.doi.org/10.1364/ao.54.001564.
Full textMlynczak, Jaroslaw, Krzysztof Kopczynski, Miron Kaliszewski, and Maksymilian Wlodarski. "Estimation of nominal ocular hazard distance and nominal ocular dazzle distance for multibeam laser radiation." Applied Optics 60, no. 22 (2021): 6414. http://dx.doi.org/10.1364/ao.431490.
Full textWilson, D. R., and T. R. Martinez. "Improved Heterogeneous Distance Functions." Journal of Artificial Intelligence Research 6 (January 1, 1997): 1–34. http://dx.doi.org/10.1613/jair.346.
Full textMlynczak, Jaroslaw, Krzysztof Kopczynski, Miron Kaliszewski, and Maksymilian Wlodarski. "Estimation of nominal ocular hazard distance and nominal ocular dazzle distance for multibeam laser radiation: publisher’s note." Applied Optics 60, no. 23 (2021): 6849. http://dx.doi.org/10.1364/ao.438712.
Full textEl Hindi, Khalil. "Specific-class distance measures for nominal attributes." AI Communications 26, no. 3 (2013): 261–79. http://dx.doi.org/10.3233/aic-130565.
Full textKurtz, Camille, Pierre Gançarski, Nicolas Passat, and Anne Puissant. "A hierarchical semantic-based distance for nominal histogram comparison." Data & Knowledge Engineering 87 (September 2013): 206–25. http://dx.doi.org/10.1016/j.datak.2013.06.002.
Full textRosario, Geraldine E., Elke A. Rundensteiner, David C. Brown, Matthew O. Ward, and Shiping Huang. "Mapping Nominal Values to Numbers for Effective Visualization." Information Visualization 3, no. 2 (2004): 80–95. http://dx.doi.org/10.1057/palgrave.ivs.9500072.
Full textDiab, Diab M., and Khalil El Hindi. "Using differential evolution for improving distance measures of nominal values." Applied Soft Computing 64 (March 2018): 14–34. http://dx.doi.org/10.1016/j.asoc.2017.12.007.
Full textGong, Fang, Liangxiao Jiang, Dianhong Wang, and Xingfeng Guo. "Averaged one-dependence inverted specific-class distance measure for nominal attributes." Journal of Experimental & Theoretical Artificial Intelligence 32, no. 4 (2019): 651–63. http://dx.doi.org/10.1080/0952813x.2019.1661587.
Full textGong, Fang, Liangxiao Jiang, Huan Zhang, Dianhong Wang, and Xingfeng Guo. "Gain ratio weighted inverted specific-class distance measure for nominal attributes." International Journal of Machine Learning and Cybernetics 11, no. 10 (2020): 2237–46. http://dx.doi.org/10.1007/s13042-020-01112-8.
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