Aitao Chen. Comparative Study of Pattern Recognition, Neural Networks, and Statistical Regression Approaches to Information Retrieval. PhD Dissertation. Advisor: William S. Cooper. University of ...

Wang et al. (2013) developed a multi-voxel fMRI pattern analysis to identify the difference between abstract and concrete concepts by using a logical regression classifier, where the fMRIs are yielded ...

Certain preprocessing techniques were used to improve accuracy and outcomes. Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random ...

Linear Regression Classification (LRC) algorithm for pattern recognition belongs to the category of nearest subspace classification. This algorithm is extensively evaluated on several standard digit ...

Linear regression classification (LRC) has proven to be a successful recognition tool in recent years. LRC depends on using the least square algorithm to get the solution of the linear regression ...

Dive into the world of pattern recognition in machine learning with this comprehensive article. Gain insights into its operational mechanics, techniques, and real-world applications.