We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Abstract. The logical effort method has appeared very convenient for fast estimation and optimization of single paths. However it necessitates a calibration of all the gates of the...
B. Lasbouygues, Robin Wilson, Philippe Maurine, Na...
A HDD template is designed and developed for modeling and simulation for final assembly of hard disk drive (HDD) manufacturing using Arena. The designed HDD template is a high fle...
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio