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Transcription Factor Sp1, also known as specificity protein 1∗ is a protein that in humans is encoded by the SP1 gene. Using Machine Learning algorithms like Logistic Regression, Linear Discriminant Analysis-Nearest Neighbours, Decision Trees, Gaussian Naive Bayes, Support Vector Machines and some ensemble algorithms like AdaBoost, Gradient Boosting, Random Forests and Extra Trees here a classifier...
Predicting the performance of the students and helping them to improve their knowledge in subjects is one of the jobs of the educational universities. It is a laborious work to track many students in the universities. So, the universities started using content management systems to track the record of the student's marks, grades and performance. Even then, the tutor have to evaluate manually to finalize...
A Brain Computer Interface (BCI) provides a communication path between human brain and the computer system. The major goal of BCI research is to develop a system that allows disabled people to communicate with other people, to control artificial limbs, or to control their environment. BCI is a challenging topic of computer vision research. It is extensively used by disabled people to communicate with...
Before the routine anesthesia, an airway examination must be performed during the pre-anesthetic examination for all patients who need a surgical operation in order to decide whether the tracheal intubation is easy or hard. In the field of anesthesia and intensive care, many works have been performed in order to reduce as much as possible the anesthetic risks and the mortality rate as well as to provide...
Prediction of Dengue presents great challenge as the clinical symptoms overlaps with other conventional fever. Dengue viral infection has been reported in more than 100 countries, with total of 2.5 billion people. Testing of prognosis, the stages of dengue such as DF, Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS) under conventional methods needs frequent blood test information. The...
The increase of malware that are exploiting the Internet daily has become a serious threat. The manual heuristic inspection of malware analysis is no longer considered effective and efficient compared against the high spreading rate of malware. Hence, automated behavior-based malware detection using machine learning techniques is considered a profound solution. The behavior of each malware on an emulated...
Accurate probability estimation generated by learning models is desirable in some practical applications, such as medical diagnosis. In this paper, we empirically study traditional decision-tree learning models and their variants in terms of probability estimation, measured by conditional log likelihood (CLL). Furthermore, we also compare decision tree learning with other kinds of representative learning:...
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