Search Results - (( bayesian classification techniques ) OR ( evolution computing techniques ))

Spam filtering using bayesian technique based on independent feature selection by Mohamad, Masurah

“…Bayesian technique is one of the classification techniques which can be applied to a certain problem domain such as classification task. …”
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Affective state classification using Bayesian classifier by Ghazali, Aimi Shazwani, Sidek, Shahrul Na'im, Wok, Saodah

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Empirical bayesian binary classification forests using bootstrap prior by Olaniran, Oyebayo Ridwan, Abdullah, Mohd Asrul Affendi, Gopal Pillay, Khuneswari A/P, Olaniran, Saidat Fehintola

“…In this paper, we present a new method called Empirical Bayesian Random Forest (EBRF) for binary classification problem. …”
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Modeling Dynamic Patients Variables to Renal Failure in the Intensive Care Unit Using Bayesian Networks by Shah N.N.H., Razak A.A., Razak N.N., Ramasamy A.K., Abu-Samah A., Hasan M.S.

A framework of classifying maintenance requests based on learning techniques by Mahmoodian, Naghmeh, Abdullah, Rusli, Azmi Murad, Masrah Azrifah

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Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms by Al-Rawashdeh, Mohammad, Al Nawaiseh, Moh’d, Yousef, Isam, Bisharah, Majdi, Alkhadrawi, Sajeda, Al-Bdour, Hamza

“…Bayesian Optimization helps models acquire data patterns, improving classification accuracy. …”
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Classification of heart disease with machine learning: a comparison of grid search, random search, and Bayesian Optimization by Andi, Tri, Ismail, Amelia Ritahani, Pranolo, Andri, Kusuma, Candra Juni Cahyo

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An experimental study of classification algorithms for crime prediction. by Iqbal, Rizwan, Azmi Murad, Masrah Azrifah, Mustapha, Aida, Panahy, Payam Hassany Shariat, Khanahmadliravi, Nasim

“…Classification is a well-known supervised learning technique in data mining. …”
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Automated detection of breast cancer in mammography images using Gabor filter and Bayesian classifier / Bardia Yousefi by Bardia, Yousefi

“…The objective of this research is developing a technique for feature extraction in breast lesions by applying Gabor filter and using Bayesian classifier for classification of the breast lesions. …”
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Computational intelligence approach for classification and risk quantification of metabolic syndrome / Habeebah Adamu Kakudi by Habeebah Adamu , Kakudi

“…Therefore, the aim of this study is to propose and develop a novel non-clinical technique for the early risk quantification and classification of MetS refered to as genetically optimized Bayesian adaptive resonance theory mapping (GOBAM). …”
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Detection and classification of intestinal parasites with bayesian-optimized model by Hamza, Haifa, Kamarul Hawari, Ghazali, Ahmad, Abubakar

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A novel hybrid module of skin detector using grouping histogram technique for Bayesian method and segment adjacent-nested technique for neural network by Zaidan, A.A., Karim, H.A., Ahmad, N.N., Alam, Gazi Mahabubul, Zaidan, B.B.

“…Thus, this paper proposed a novel hybrid module using grouping histogram technique for Bayesian method and back propagation neural network with segment adjacent-nested (SAN) technique based on YCbCr and RGB color space in improving the skin detection performance. …”
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A joint Bayesian optimization for the classification of fine spatial resolution remotely sensed imagery using object-based convolutional neural networks by Azeez, Omer Saud, M. Shafri, Helmi Z., Alias, Aidi Hizami, Haron, Nuzul Azam

“…This paper presents a novel approach for combining convolutional neural networks (CNN) with OBIA based on joint optimization of segmentation parameters and deep feature extraction. A Bayesian technique was used to find the best parameters for the multiresolution segmentation (MRS) algorithm while the CNN model learns the image features at different layers, achieving joint optimization. …”
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A comparative study in classification techniques for unsupervised record linkage model by Ektefa, Mohammadreza, Sidi, Fatimah, Ibrahim, Hamidah, A. Jabar, Marzanah, Memar, Sara

“…Duplicate detection and classification of records in two real world datasets, namely Cora and Restaurant is experimented by Support Vector Machines, Naïve Bayes, Decision Tree and Bayesian Networks which are regarded as some prominent classification techniques. …”
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On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system by Zaidan , A. A., Ahmad, N. N., Abdul Karim, Hazerul, Larbani, Moussa, Zaidan, B.B.

“…In the first stage, we proposes a multi-agent learning method that combines the Bayesian method with a grouping histogram (GH) technique and the back-propagation neural network with a segment adjacent-nested (SAN) technique based on the YCbCr and RGB colour spaces respectively, to extract skin regions from the image accurately with take into considered the problems of the light-changing conditions, skin-like colour and reflection from glass and water. …”
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On multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system by Zaidan, Aws Alaa, Ahmad, Nurul Nadia, Abdul Karim, Hezerul, Larbani, Moussa, Zaidan, Bilal Bahaa, Sali, Aduwati

“…In the first stage, we propose a multi-agent learning method that combines the Bayesian method with a grouping histogram (GH) technique and the back-propagation neural network with a segment adjacent-nested (SAN) technique based on the YCbCr and RGB colour spaces respectively, to extract skin regions from the image accurately with taking into consideration the problems of the light-changing conditions, skin-like colour and reflection from glass and water. …”
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A sequence-based phylogenetic inference using a bayesian-based model by Mohd Nawawi, Shazana

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Evaluation of feature extraction and classification techniques for EEG-based subject identification by Handayani, Dini Oktarina Dwi, Abdul Rahman, Abdul Wahab, Yaacob, Hamwira Sakti

“…As for classification we compare three classification techniques, they are; Multilayer Perceptron (MLP), Naive Bayesian (NB), and Support Vector Machine (SVM). …”
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Modeling students' background and academic performance with missing values using classification tree by Hasan, Norsida

“…We investigate the application of classification tree, Bayesian network and naive Bayes as the imputation techniques to handle missing values in classification tree model. …”
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A Bayesian probability model for Android malware detection by Sharfah Ratibah, Tuan Mat, Mohd Faizal, Ab Razak, Mohd Nizam, Mohmad Kahar, Juliza, Mohamad Arif

“…To combat this issue, this study proposes an Android malware detection system based on permission features using Bayesian classification. The permission features were extracted via the static analysis technique. …”
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