C&EN21d
Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study
PCA is an unsupervised ... the model in learning the relationship between the predictors and the response variable. Therefore, the algorithm was trained using 70% of the samples, while the remaining ...
IEEE29d
Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images With Mask Enhancement and Balanced Sampling
Abstract: Unsupervised domain adaptation (UDA ... enhancing cross-domain contextual semantic learning and improving the recognition accuracy of similar classes. Additionally, SRCS increases the ...
IEEE2mon
Unsupervised Contrastive Learning-Based Single Domain Generalization Method for Intelligent Bearing Fault Diagnosis
Then, we combine MARS with unsupervised contrastive learning to bring the pseudo target domain samples closer to the source domain samples in the feature space, which enables generalization to unknown ...
GitHub4y
perceptron-learning-algorithm
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) ...