Browsing Duke Faculty Scholarship by Subject "automation & control systems"

Now showing items 1-2 of 2

Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing

West, Mike (MICROTOME PUBL, 2010)

We describe a class of sparse latent factor models, called graphical factor models (GFMs), and relevant sparse learning algorithms for posterior mode estimation. Linear, Gaussian GFMs have sparse, orthogonal factor loadings ...
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence

Maggioni, Prof Mauro; Mukherjee, Sayan (MICROTOME PUBL, 2010)

The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean spaces as well as the manifold setting. ...