Abstract: Linear discriminant analysis (LDA) is a widely used technique for supervised feature extraction and dimensionality reduction. LDA determines an optimal discriminant space for linear data ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
Abstract: Discriminant analysis is a technique used in statistics and machine learning to separate two or more classes of objects or events. We introduce linear, quadratic, and mixture discriminant ...
Autism Spectrum Disorder (ASD) is a developmental condition characterized by social and communication differences. Recent research suggests ASD affects 1-in-44 children in the United States. ASD is ...
Sourabh has worked as a full-time data scientist for an ISP organisation, experienced in analysing patterns and their implementation in product development. He has a keen interest in developing ...
Artificial intelligence (AI) machine learning combined with brain–computer interface (BCI) neurotechnology is offering a glimmer of hope for the disabled. A new study published in the Journal of ...
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback