8 citations · 13 across the 7 of their papers we have counts for
7 papers
Learning Treatment Regimens from Electronic Medical Records
Khanh-Hung Hoang, Tu-Bao Ho
Appropriate treatment regimens play a vital role in improving patient health status. Although some achievements have been made, few of the recent studies of learning treatment regi…
Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets
Duy Khuong Nguyen, Tu Bao Ho
Nonnegative Matrix Factorization (NMF) with Kullback-Leibler Divergence (NMF-KL) is one of the most significant NMF problems and equivalent to Probabilistic Latent Semantic Indexin…
Inference in topic models: sparsity and trade-off
Khoat Than, Tu Bao Ho
Topic models are popular for modeling discrete data (e.g., texts, images, videos, links), and provide an efficient way to discover hidden structures/semantics in massive data. One…
Accelerated Parallel and Distributed Algorithm using Limited Internal Memory for Nonnegative Matrix Factorization
Duy-Khuong Nguyen, Tu-Bao Ho
Nonnegative matrix factorization (NMF) is a powerful technique for dimension reduction, extracting latent factors and learning part-based representation. For large datasets, NMF pe…
Anti-lopsided Algorithm for Large-scale Nonnegative Least Square Problems
Duy Khuong Nguyen, Tu Bao Ho
Non-negative least squares (NNLS) problem is one of the most important fundamental problems in numeric analysis. It has been widely used in scientific computation and data modeling…
Probable convexity and its application to Correlated Topic Models
Khoat Than, Tu Bao Ho
Non-convex optimization problems often arise from probabilistic modeling, such as estimation of posterior distributions. Non-convexity makes the problems intractable, and poses var…