'Diagonal covariance matrix' presentation slideshows

SLAM Summer School 2004

1.04k views • 82 slides

773 views • 44 slides

Dimensional reduction, PCA

Dimensional reduction, PCA. Curse of dimensionality. The higher the dimension, the more data is needed to draw any conclusion Probability density estimation: Continuous: histograms Discrete: k-factorial designs Decision rules: Nearest-neighbor and K-nearest neighbor.

536 views • 26 slides

Computational Intelligence: Methods and Applications

341 views • 20 slides

Economics 310

Economics 310. Lecture 17 Seemingly Unrelated Regressions. Seemingly Unrelated Regression Models. Have several regressions using different data sets that span the same period of time.

210 views • 12 slides