Same as CSCA 5632Same as CSCA 5632 Specialization: Machine Learning Instructor: Geena Kim, Assistant Teaching Professor Prior knowledge needed: Calculus, Linear algebra, Python Learning Outcomes ...

The Annals of Statistics, Vol. 47, No. 6 (December 2019), pp. 3009-3031 (23 pages) Principal component analysis (PCA) is fundamental to statistical machine learning. It extracts latent principal ...

They discuss here, about the popular feature extraction algorithms Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) and Local Binary Patterns (LBPs).

On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the compressor ...

Methods: We analyzed data for PCa cases identified in the Surveillance, Epidemiology, and End Results (SEER) registry data linked with Medicare claims. We identified two cohorts of individuals ...

Recently, Canovas and colleagues [3] reported on a new algorithm that incorporates PCA into the Tecnis toric IOL calculator. The authors tested the accuracy of the formula retrospectively on 274 ...