4 citations · 4 across the 2 of their papers we have counts for
4 papers
Robust conditional dimension reduction for dissimilarity data
Xiao Ling, Anh Bui
Conditional dimension reduction (cDR) learns low-dimensional latent coordinates while accounting for observed covariates that represent known sources of variation in the data. Cond…
Dimension Reduction with Prior Information for Knowledge Discovery
Anh Tuan Bui
This paper addresses the problem of mapping high-dimensional data to a low-dimensional space, in the presence of other known features. This problem is ubiquitous in science and eng…
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors
Kungang Zhang, Anh T. Bui, Daniel W. Apley
Supervised learning models are one of the most fundamental classes of models. Viewing supervised learning from a probabilistic perspective, the set of training data to which the mo…
A monitoring and diagnostic approach for stochastic textured surfaces
Anh Tuan Bui, Daniel W. Apley
We develop a supervised-learning-based approach for monitoring and diagnosing texture-related defects in manufactured products characterized by stochastic textured surfaces that sa…