Support vector machines for classification

M Awad, R Khanna, M Awad, R Khanna - Efficient learning machines …, 2015 - Springer
This chapter covers details of the support vector machine (SVM) technique, a sparse kernel
decision machine that avoids computing posterior probabilities when building its learning …

[HTML][HTML] Sentence subjectivity analysis of a political and ideological debate dataset using LSTM and BiLSTM with attention and GRU models

A Al Hamoud, A Hoenig, K Roy - Journal of King Saud University-Computer …, 2022 - Elsevier
Subjectivity analysis is one of the key tasks in the field of natural language processing. Used
to annotate data as subjective or objective, subjectivity analysis can be implemented on its …

A stacking-based model for non-invasive detection of coronary heart disease

J Wang, C Liu, L Li, W Li, L Yao, H Li, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Coronary arteriongraphy (CAG) is an accurate invasive technique for the diagnosis of
coronary heart disease (CHD). However, its invasive procedure is not appropriate for the …

Ham or spam? A comparative study for some content-based classification algorithms for email filtering

SA Saab, N Mitri, M Awad - MELECON 2014-2014 17th IEEE …, 2014 - ieeexplore.ieee.org
Spam emails are widely spreading to constitute a significant share of everyone's daily inbox.
Being a source of financial loss and inconvenience for the recipients, spam emails have to …

A subjectivity classification framework for sports articles using improved cortical algorithms

N Hajj, Y Rizk, M Awad - Neural Computing and Applications, 2019 - Springer
The enormous number of articles published daily on the Internet, by a diverse array of
authors, often offers misleading or unwanted information, rendering activities such as sports …

[PDF][PDF] Wood species identification using terahertz time-domain spectroscopy

Y Wang, S She, N Zhou, J Zhang, H Yan… - …, 2019 - bioresources.cnr.ncsu.edu
A new method for wood identification using terahertz (THz) time-domain spectroscopy (TDS)
is presented. THz-TDS technology is an emerging method of spectral analysis method that …

Steganalysis for Images Security Classification in Machine Learning Using SVM

P Karthika, B Barani Sundaram, T Kedir… - … Vision and Bio-Inspired …, 2021 - Springer
Grouping is one of the most important errands for different applications, such as text order,
tone recognition, image characterization, articulation of miniature cluster efficiency, protein …

Face2Mus: a facial emotion based Internet radio tuner application

Y Rizk, M Safieddine, D Matchoulian… - MELECON 2014-2014 …, 2014 - ieeexplore.ieee.org
We propose in this paper, Face2Mus, a mobile application that streams music from online
radio stations after identifying the user's emotions, without interfering with the device's …

An ordinal kernel trick for a computationally efficient support vector machine

Y Rizk, N Mitri, M Awad - 2014 International Joint Conference …, 2014 - ieeexplore.ieee.org
A principled approach to machine learning (ML) problems because of its mathematical
foundations in statistical learning theory, support vector machines (SVM), a non-parametric …

Grain surface classification via machine learning methods

H Duysak, U Özkaya, E Yiğit - Avrupa Bilim ve Teknoloji Dergisi, 2020 - dergipark.org.tr
Bu çalışmada buğday yüzey çeşitlerinin sınıflandırılması için radar yardımıyla elde edilen
sinyaller makine öğrenmesi yöntemleri ile analizi gerçekleştirilmiştir. 18-40 GHz frekans …