Preprocessing - Warping Data
Learn about Correlation Optimized Warping (COW) for aligning misaligned data, including its principles, parameters, and applications in bilinear models and data preprocessing.
PLS Number of Components
Learn validation techniques for PLS models, including outlier detection, error measures, cross-validation, and practical tips for selecting the optimal number of components.
Multi-Way Analysis - The Algorithm
Explore the alternating least squares algorithm for multi-way analysis, focusing on PARAFAC modeling in chemometrics. Learn about notation, potential problems, and alternative approaches.
Randomization - Speeding Up Huge Problems
Explore data reduction techniques for analyzing large datasets efficiently, focusing on randomized sub-sampling and local-rank approximations in PCA and sparse-PCA contexts.
LASSO in One Hour
Discover sparse modeling techniques for linear regression, PLS, and PCA with the LASSO method in this concise introduction.
Few-Shot Classification Using Tensor Completion
Explore tensor-based modeling for enhanced classification performance, especially with limited training data, outperforming traditional methods.
Why Not Believe Your Data? | Vanessa Maybeck | TEDxHSRW
Dr. Vanessa proposes in her talk the idea that the hardest part of discovery isn’t collecting data - it’s knowing when to doubt it. And when to stand by it. Dr. Vanessa Maybeck is a bioelectronics researcher with expertise in molecular cell biology and neurobiology. Her work investigates how neurons