A Variational Method for Estimating the Parameters of MRF from Complete or Incomplete Data

Estimating the Parameters of Mixed Bayesian Networks from Incomplete Data

Under complete data, there are closed-form maximum likelihood estimators for mixed Bayesian networks composed of discrete models [1], conditional Gaussian models [2] and conditional Gaussian regression models [2]. We describe an extension to Lauritzen’ expectation-maximisation (EM) algorithm [3], which estimates the parameters of discrete networks from incomplete data, to the more general case ...

A new method for estimating joint parameters from motion data.

Joint centers and axes of rotation (joint parameters) are central to all branches of movement analysis. In gait analysis, the standard protocol used to determine hip and knee joint parameters is prone to errors arising from palpation, anthropometric regression equations, and misplaced alignment devices. Several alternative methods have been proposed, but to date none have been shown to be accur...

Method for Estimating Scan Parameters from Tomographic Data

Image Reconstruction from Incomplete Data

A Method for Estimating Metabolic Fluxes from Incomplete Isotopomer Information

Metabolic flux estimation—the problem of finding out the rates of reactions in metabolic pathways—is an important problem area in the study of metabolism. The most accurate technique for this task today is the use of isotopic tracer experiments, where a mixture of differently isotope-labeled substrates is fed to a cell culture and the propagation of the labels is observed from the products and ...