A Naive Bayes Source Classifier for X-ray Sources
, 2011 The Chandra Carina Complex Project (CCCP) provides a sensitive X-ray survey of a nearby starburst region over >1 square degree in extent. Thousands of faint X-ray sources are found, many concentrated into rich young stellar clusters. However, significant
Allen +23 more
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Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier
Journal of Applied Computer Science and TechnologyWeather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period ...
Steven Joses +2 more
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Energy optimization for wireless sensor network using minimum redundancy maximum relevance feature selection and classification techniques [PDF]
PeerJ Computer ScienceIn wireless sensor networks (WSN), conserving energy is usually a basic issue, and several approaches are applied to optimize energy consumption. In this article, we adopt feature selection approaches by using minimum redundancy maximum relevance (MRMR ...
Muteeah Aljawarneh +4 more
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Analisis Sentimen Pindah Ibu Kota Berbasis Naive Bayes Classifier
Jurnal informatika UPGRIS, 2021 Perkembangan media sosial memudahkan pengguna dalam percepatan akses informasi di internet. Akses informasi yang awalnya sulit diperoleh begitu mudah sekarang ini.
Primandani Arsi +2 more
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Optimization the Naive Bayes Classifier Method to Diagnose Diabetes Mellitus [PDF]
, 2019 World Health Organization (WHO) states that Diabetes Mellitus is the world's top deadly disease. several studies in the health sector including diabetes mellitus have been carried out to detect diseases early.
Riana, D. (Dwiza) +1 more
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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement [PDF]
مدیریت مهندسی و رایانش نرم, 2023 Early diagnosis of breast cancer plays a crucial role in treating the patient. Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer.
Mahboubeh Shamsi +2 more
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Search Strategies for Binary Feature Selection for a Naive Bayes Classifier [PDF]
, 2015 We compare in this paper several feature selection methods for the Naive Bayes Classifier (NBC) when the data under study are described by a large number of redundant binary indicators.
Cottrell, Marie +3 more
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Improving feature selection algorithms using normalised feature histograms
, 2011 The proposed feature selection method builds a histogram of the most stable features from random subsets of a training set and ranks the features based on a classifier based cross-validation.
A.K. Maan, A.P. James, Fan, Hall
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Analysis of the Use of Background Distribution for Naive Bayes Classifiers
Journal of Intelligent Systems, 2019 The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel +2 more
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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.
Taeheung Kim, Jong-Seok Lee
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