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172 results for “Machine Learning Algorithms”
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Research ArticleOpen accessIn the abstractFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractMissing Values Treatment and Feature Reduction Analysis to Enhance ClassificationD. Muralidharan, K. Renuka, Mulagala Jaswant et al.Datasets may have large number of features which makes it hard and time consuming to classify. Additionally, they may have irrelevant and noise features too with missing values. The missing values should be treated in a proper way so that the classifier accuracy can be improved. There is also a need to reduce features and select only the features necessary … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,119 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Static and Dynamic Gestures Recognition Using Leap MotionBasma Hisham, Alaa HamoudaAcross the world, several millions of people use sign language as their main way of communication with their society, daily they face a lot of obstacles with their families, teachers, neighbours, employers. According to the most recent statistics of World Health Organization, there are 360 million persons in the world with disabling hearing loss i.e. (5.3% of the world’s population), … …Journal of Computer Science, Vol. 13, Issue 8 · 12 Aug 2017 · 8,185 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis of Arabic Tweets in e-LearningHamed AL-Rubaiee, Renxi Qiu, Khalid Alomar, Dayou LiIn this study, we present the design and implementation of Arabic text classification in regard to university students' opinions through different algorithms such as Support Vector Machine (SVM) and Naive Bayes (NB). The aim of the study is to develop a framework to analyse Twitter "tweets" as having negative, positive or neutral sentiments in education or, in other words, to … …Journal of Computer Science, Vol. 12, Issue 11 · 4 Feb 2017 · 9,077 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Acceptance Criterion (AAC) Algorithm for Optimization ProblemsAnmar AbuhamdahOptimization methods commonly are designed for solving the optimization problems. Local search algorithms are optimization method, which are good candidate in exploiting the search space. However, most of them need parameter tuning and incapable of escaping from local optima. This work proposes non-parametric Acceptance Criterion (AC) that not relies on user-defined, which motivate to propose an Adaptive Acceptance Criterion (AAC). … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 6,971 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Email Response in an Email Management System Using Natural Language Processing Based Probabilistic MethodsAbdulkareem Al-AlwaniEmail based communication over the course of globalization in recent years has transformed into an all-encompassing form of interaction and requires automatic processes to control email correspondence in an environment of increasing email database. Relevance characteristics defining class of email in general includes the topic of thee mail and the sender of the email along with the body of email. … …Journal of Computer Science, Vol. 11, Issue 1 · 15 Sep 2014 · 7,839 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Oath Writing Style on Stylometric Features and Machine Learning ClassifiersAhmad Alqurneh, Aida MustaphaComputational stylometry is the field that studies the distinctive style of a written text using computational tasks. The first task is how to define quantifiable measures in a text and the second is to classify the text into a predefined category. This study propose a stylometric features selection approach evaluated by machine learning algorithms to find the finest of the … …Journal of Computer Science, Vol. 11, Issue 2 · 9 Sep 2014 · 7,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractPARALLEL IMPLEMENTATION OF EXPECTATION-MAXIMISATION ALGORITHM FOR THE TRAINING OF GAUSSIAN MIXTURE MODELSG. F. Araújo, H. T. Macedo, M. T. Chella et al.Most machine learning algorithms need to handle large data sets. This feature often leads to limitations on processing time and memory. The Expectation-Maximization (EM) is one of such algorithms, which is used to train one of the most commonly used parametric statistical models, the Gaussian Mixture Models (GMM). All steps of the algorithm are potentially parallelizable once they iterate over … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractMACHINE LEARNING APPROACHES IN IMPROVING SERVICE LEVEL AGREEMENT-BASED ADMISSION CONTROL FOR A SOFTWARE-AS-A-SERVICE PROVIDER IN CLOUDR. S. Mohana, P. ThangarajSoftware as a Service (SaaS) offers reliable access to software applications to the end users over the Internet without direct investment in infrastructure and software. SaaS providers utilize resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider in order to serve their customers. Internal hosting can ample cost of administration and maintenance … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,959 accessesView PDFCite