There is a dizzying array of AI machine learning algorithms. Finding the best type to decode noisy brain data for BCIs is ... Naïve Bayes, Support Vector Machines (SVM), k-Nearest Neighbors ...

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines ... analysis suggests that the improved AlexNet model is suitable ...

In this paper, we compare the effectiveness of Support Vector Machine (SVM) and Artificial Neural ... 2015 in both testing and training phases. The converted data through Principal Component Analysis ...

Finally, the transfer support vector machine (TSVM) algorithm is used to classify the feature data. Results: The proposed algorithm ... Therefore, before signal analysis, it needs to be preprocessed ...

Abstract: Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms, Random Forest (RF) and ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data ... and Support Vector Machine (SVM).