Results 1 to 10 of about 28,967 (156)
Exact Learning Augmented Naive Bayes Classifier [PDF]
Entropy, 2021 Earlier studies have shown that classification accuracies of Bayesian networks (BNs) obtained by maximizing the conditional log likelihood (CLL) of a class variable, given the feature variables, were higher than those obtained by maximizing the marginal ...
Shouta Sugahara, Maomi Ueno
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Measuring Software Maintainability with Naïve Bayes Classifier [PDF]
Entropy, 2021 Software products in the market are changing due to changes in business processes, technology, or new requirements from the customers. Maintainability of legacy systems has always been an inspiring task for the software companies.
Nayyar Iqbal +3 more
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A ‘non-parametric’ version of the naive Bayes classifier [PDF]
Knowledge-Based Systems, 2011 Many algorithms have been proposed for the machine learning task of classication. One of the simplest methods, the naive Bayes classifyer, has often been found to give good performance despite the fact that its underlying assumptions (of independence and a Normal distribution of the variables) are perhaps violated.
Ian Ellis +2 more
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Directional naive Bayes classifiers [PDF]
Pattern Analysis and Applications, 2013 Directional data are ubiquitous in science. These data have some special properties that rule out the use of classical statistics. Therefore, different distributions and statistics, such as the univariate von Mises and the multivariate von Mises–Fisher distributions, should be used to deal with this kind of information.
Concha Bielza, Pedro Larranaga
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Ilkom Jurnal Ilmiah, 2022 Heart failure (ARF) is a health problem that has relatively high mortality and morbidity rates in developed or developing countries, including Indonesia.
Pungkas Subarkah +2 more
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Mining housekeeping genes with a Naive Bayes classifier [PDF]
BMC Genomics, 2006 Background Traditionally, housekeeping and tissue specific genes have been classified using direct assay of mRNA presence across different tissues, but these experiments are costly and the results not easy to compare and reproduce.
Aitken Stuart, De Ferrari Luna
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Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers
IEEE Access, 2022 The naive Bayesian classification method has received significant attention in the field of supervised learning. This method has an unrealistic assumption in that it views all attributes as equally important.
Jong-Seok Lee, Taeheung Kim
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Klasifikasi Karya Ilmiah (Tugas Akhir) Mahasiswa Menggunakan Metode Naive Bayes Classifier (NBC)
Sistemasi: Jurnal Sistem Informasi, 2021 The final project or thesis is the result of research that addresses a problem according to the student's field of science. By increasing the number of graduates, the number of final project documents produced will also be even greater.
Nurdin Nurdin +3 more
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Complement-Class Harmonized Naïve Bayes Classifier
Applied Sciences, 2023 Naïve Bayes (NB) classification performance degrades if the conditional independence assumption is not satisfied or if the conditional probability estimate is not realistic due to the attributes of correlation and scarce data, respectively.
Fahad S. Alenazi +2 more
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Ilkom Jurnal Ilmiah, 2020 In this research, the performance of SVM classification method will be compared with other classification methods, by using the Naïve Bayes classification method.
Lutfi Budi Ilmawan +1 more
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