… unsupervised machine learning technique, the restricted Boltzmann machine, and a recently
developed supervised classification algorithm called neural dynamics classification (NDC) …

… The ANN work was based on a simple multi-layer perceptron with a back propagation
learning algorithm using the software tool NeuFrame. In configuring the network we had to make …

… However, from a modern machine learning point of view, we make use of this theory and
propose a machine learning based classification system analyzing fine-graded EEG spectra to …

… This paper discusses several commonly used machine learning algorithms to predict
charging behavior, including stay duration and energy consumption based on historical charging …

… A number of machine learning (ML)-based algorithms have been proposed for predicting …
algorithms and found all of them suffer from the problem of overfitting. This approach is based …

… A risk score created by a ML based algorithm, that utilizes standard 16 coronary segment …
These findings indicate that a ML based algorithm can improve the integration of CCTA …

… In this study, machine learning based algorithms were employed … machine learning based
algorithms is proposed to predict motorcycle crash severity. In recent years, machine learning …

… : Machine learning (ML) is the scientific study of algorithms … Learning algorithms in many
applications that’s we make use of … applications of machine learning algorithms has been made. …

… Distance-based algorithms are machine learning algorithms that classify queries by … -based
algorithms, the nearest neighbor algorithm and the nearest-hyperrectangle algorithm…

… Machine Learning (ML) algorithm and used Weka 3.6.8 as our experimental platform. We
based … respiratory effort and oxygen therapy were also used in our machine learning algorithm. …