Results 21 to 30 of about 131,003 (284)
Learning sentiment from students’ feedback for real-time interventions in classrooms [PDF]
, 2014 Knowledge about users sentiments can be used for a variety of adaptation purposes. In the case of teaching, knowledge about students sentiments can be used to address problems like confusion and boredom which affect students engagement. For this purpose,
Altrabsheh, Nabeela +2 more
core +2 more sources
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.
Azeraf, Elie +2 more
openaire +2 more sources
Boosted Gaussian Bayes Classifier and its application in bank credit scoring
Journal of Advanced Engineering and Computation, 2018 With the explosion of computer science in the last decade, data banks and networks management present a huge part of tomorrows problems. One of them is the development of the best classication method possible in order to exploit the data bases.
Anaïs Pizzo +2 more
doaj +1 more source
Scientific Journal of Informatics, 2018 The beef cattle quality certainly affects the quality of meat to be consumed. This research performs data processing to do the classification of beef cattle quality. The data used are 196 data record taken from data in 2016 and 2017.
Feroza Rosalina Devi +2 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source