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Augmented Semi-naive Bayes Classifier
, 2013 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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Learning the naive Bayes classifier with optimization models [PDF]
International Journal of Applied Mathematics and Computer Science, 2013 Abstract Naive Bayes is among the simplest probabilistic classifiers. It often performs surprisingly well in many real world applications, despite the strong assumption that all features are conditionally independent given the class. In the learning process of this classifier with the known structure, class probabilities and conditional ...
Sona Taheri, Musa A. Mammadov
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Edumatic, 2021 Mengetahui tingkat kepuasan dan kepercayaan customer merupakan salah satu kunci kesuksesan dalam sebuah bisnis. Namun, membaca review dari para customer secara manual dinilai tidak efektif mengingat banyaknya data yang masuk ke situs Shopee setiap ...
Loemongga Oktaria Sihombing +2 more
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Jurnal Riset Informatika, 2020 Digital wallet services provide many conveniences and benefits to its users. However, not all digital wallet service users have a positive opinion of the service.
Alvie Delia Cahyani +2 more
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Evolving Extended Naive Bayes Classifiers [PDF]
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006 Naive Bayes classifiers are a very simple, but often effective tool for classification problems, although they are based on independence assumptions that do not hold in most cases. Extended na??ve Bayes classifiers also rely on independence assumptions, but break them down to artificial subclasses, in this way becoming more powerful than ordinary na ...
Frank Klawonn, Plamen Angelov 0001
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Using the Naive Bayes as a discriminative classifier
CoRR, 2020 8 pages, 3 ...
Elie Azeraf +2 more
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Machine Vision for the Various Road Surface Type Classification Based on Texture Feature
Journal of Mechanical Engineering Science and Technology, 2022 The mechanized ability to specify the way surface type is a piece of key enlightenment for autonomous transportation machine navigation like wheelchairs and smart cars.
Susi Marianingsih +4 more
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SERVICES CANCER DETECTION SYSTEM USING K-NEAREST NEIGHBOURS(K-NN) METHOD AND NAÏVE BAYES CLASSIFIER [PDF]
, 2020 According to WHO (World Health Organization) data, every 2 minutes a woman dies. In Indonesia alone, 40 - 45 women are diagnosed with cervical cancer every day. Of those diagnosed, around 20-25 die from cervical cancer.
Candra Nursari, Sri Rezeki +1 more
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Bayes and Naive Bayes Classifier
CoRR, 2014 The Bayesian Classification represents a supervised learning method as well as a statistical method for classification. Assumes an underlying probabilistic model and it allows us to capture uncertainty about the model in a principled way by determining probabilities of the outcomes.
Vikramkumar, Vijaykumar B, Trilochan
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Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022 Naive Bayes is a popular probabilistic model appreciated for its simplicity and interpretability. However, the usual form of the related classifier suffers from two major problems. First, as caring about the observations' law, it cannot consider complex features.
Elie Azeraf +2 more
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