Results 21 to 30 of about 48,962 (256)
Implementation of Human Cognitive Bias on Naïve Bayes
EAI Endorsed Transactions on Creative Technologies, 2016 We propose a human-cognition inspired classification model based on Naïve Bayes. Our previous study showed that human-cognitively inspired heuristics is able to enhance the prediction accuracy of text classifier based on Naïve Bayes.
Hidetaka Taniguchi +2 more
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Indonesian Journal of Information Systems, 2020 Stress is generally defined as a state where someone is mentally disturbed as the response to the adversity that he/she experiences. Junior High School students usually are not aware of the stress that they encounter.
Yohanes Christopher Tapidingan +1 more
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Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection
Journal of Information Systems Engineering and Business Intelligence, 2022 Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases.
Linda Perdana Wanti, Oman Somantri
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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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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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KLASIFIKASI KEMANCETAN LALU LINTAS DI INDONESIA MENGGUNAKAN METODE NAIVE BAYES CLASSIFICATION
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023 Tujuan dari penelitian ini untuk data menganalisis akurasi kemancetan menggunakan google colab dalam mendeteksi kemacetan berdasarkan provinsi di indonesia, penulis mencoba menguji strategi dalam menangani Kemacetan wilayah indonesia, dengan ...
abdul robi padri
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Pattern RecognitionIn this paper we introduce the so-called Generalized Naive Bayes structure as an extension of the Naive Bayes structure. We give a new greedy algorithm that finds a good fitting Generalized Naive Bayes (GNB) probability distribution. We prove that this fits the data at least as well as the probability distribution determined by the classical Naive ...
Edith Alice Kovács +3 more
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Filtering Useful App Reviews Using Naïve Bayes—Which Naïve Bayes?
AIApp reviews provide crucial feedback for software maintenance and evolution, but manually extracting useful reviews from vast volumes is time-consuming and challenging.
Pouya Ataei +3 more
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Naïve Bayes classifiers for authorship attribution of Arabic texts
Journal of King Saud University: Computer and Information Sciences, 2014 Authorship attribution is the process of assigning an author to an anonymous text based on writing characteristics. Several authorship attribution methods were developed for natural languages, such as English, Chinese and Dutch.
Alaa Saleh Altheneyan +1 more
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Naive Bayes Classification of Uncertain Data [PDF]
2009 Ninth IEEE International Conference on Data Mining, 2009 Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements, etc. With uncertainty, the value of each data item is represented by a probability distribution function (pdf). In
Jiangtao Ren +5 more
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