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Naive Bayes is a well-known and studied algorithm both in statistics and machine learning. Bayesian learning algorithms represent each concept with a single probabilistic summary. This paper presents a variant of the Naive Bayes method, in which the original training set is augmented in the following fashion: Leave-One-Out procedure is applied over the
José María Martínez-Otzeta +4 more
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Lyrics classification using Naive Bayes
Text classification is an important and common task in supervised machine learning. The Naive Bayes Classifier is a popular algorithm that can be used for this purpose. The goal of our research was prediction of song performer using Naive Bayes classification algorithm based solely on lyrics. A dataset that has been created consists of lyrics performed
Dalibor Buzic, Jasminka Dobsa
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Augmented Semi-naive Bayes Classifier
The naive Bayes is a competitive classifier that makes strong conditional independence assumptions. Its accuracy can be improved by relaxing these assumptions. One classifier which does that is the semi-naive Bayes. The state-of-the-art algorithm for learning a semi-naïve Bayes from data is the backward sequential elimination and joining (BSEJ ...
Mihaljevic, Bojan +2 more
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Implementasi Naïve Bayes dan Decision Tree Untuk Klasifikasi Jenis Tanaman
Abstrak Sektor pertanian berkontribusi penting bagi perekonomian Indonesia, namun pemilihan tanaman masih mengandalkan cara tradisional yang kurang efisien.
Roni Roni +2 more
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Perbandingan Algoritma Naive Bayes dan C.45 dalam Klasifikasi Data Mining
Pada paper ini, telah diterapkan metode Naive Bayes serta C.45 ke dalam 4 buah studi kasus, yaitu kasus penerimaan “Kartu Indonesia Sehat”, penentuan pengajuan kartu kredit di sebuah bank, penentuan usia kelahiran, serta penentuan kelayakan calon ...
Yogiek Indra Kurniawan
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Structure Extension of Tree-Augmented Naive Bayes
Due to the simplicity and competitive classification performance of the naive Bayes (NB), researchers have proposed many approaches to improve NB by weakening its attribute independence assumption.
Yuguang Long, Limin Wang, Minghui Sun
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Weighted naïve bayes multi-user classification for adaptive authentication
Machine learning classification algorithms have been extensively utilized in addressing user authentication challenges. Nonetheless, a majority of solutions categorize users into three classes, whereas adaptive authentication scenarios necessitate ...
Prudence M Mavhemwa +3 more
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Naive Bayes Learning of Dermoscopy Images
We show naive Bayes models of the melanoma skin cancer represented by dermoscopy images from two different repositories. The dermoscopy images of each data set are recursively analyzed by the Mallat wavelet tree transform to extract a set of spatio-frequency filters, which are used to build energy based (rotation invariant) features.
Grzegorz Surówka, Maciej Ogorzalek
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The global economy continues to recover as trade flows, employment, and incomes improve. However, the economic recovery is uneven across countries and business sectors.
Kiki Buhori, Andrianingsih
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Perkembangan sektor industri yang semakin pesat dalam memenuhi kebutuhan hidup setiap harinya membutuhkan bahan kimia sebagai bahan utama dalam proses suatu produksi. Tidak sedikit dari bahan kimia tersebut mengandung zat berbahaya dan beracun yang dapat menimbulkan efek yang sangat membahayakan bagi lingkungan dan manusia.
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