Pattern recognition receptors (PRRs) are expressed by cells in the body in order to sense molecules that are associated with infection or tissue damage. They are important for activating the ...

implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection ...

To address this issue, this paper presents a practical approach-referred to Pattern Recognition and Prediction-that makes the trade-off between data intricacy and model flexibility. Firstly, the ...

By optimizing the parameters of the ϵ -neighborhood and N , the recognition accuracy reaches 93.3%. Finally, the performance of ISOMAP is compared with other manifold learning algorithms. Experimental ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, P. R. China Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi’an 710054, P. R. China ...

College of Computer and Information, Hohai University, Nanjing 210098, P. R. China School of Electric and Photo-Electronic Engineering, Changzhou Institute of Technology, Changzhou 213032, P. R. China ...

This repository houses the course assignments and corresponding implementations for the Pattern Recognition course at Sun Yat-sen University, aiming to provide experimental approaches and ...