PURPOSE For simple pharmacokinetic compartmental models, analytical solution to the governing differential equations along with common graphical methods provide a mean to evaluate the associated rate constants. These graphical methods, however, can not be used for the more complex multi-compartment models. Furthermore, parameter estimation using slope and intercept values from the graphical met...

This study presents a robust and rigorous method based on intelligent models, namely radial basis function networks optimized by particle swarm optimization (PSO-RBF), multilayer perceptron neural networks (MLP-NNs), and adaptive neuro-fuzzy inference system optimized by particle swarm optimization methods (PSO-ANFIS), for predicting the equilibrium and kinetics of the adsorption of sulfur and ...

This project explores methods for carrying out projections arising in the information geometry of the exponential family of probability models. Kullback-Leibler divergence serves as the distance measure between probability models in this context. The applications include maximum likelihood parameter estimation given sample paths of an unknown density as well as model reduction where one wishes ...

This work looks at fitting probabilistic graphical models to data when the structure is not known. The main tool to do this is `1-regularization and the more general group `1-regularization. We describe limited-memory quasi-Newton methods to solve optimization problems with these types of regularizers, and we examine learning directed acyclic graphical models with `1-regularization, learning un...

This paper discusses a declarative constraint-based picture deenition language, Vodl, which serves as a graphical basis for visual language speciication and visual programming environments. Our goal is to examine the utility of a formal description of graphical tokens and visual languages for the purpose of increasing the understanding of and the development of general methods for graphical lan...

The paper presents a Graphical User Interface (GUI) for nonlinear programming in Matlab. The GUI gives easy access to all features in the NLPLIB TB (NonLinear Programming LIBrary Toolbox); a set of Matlab solvers, test problems, graphical and computational utilities for unconstrained and constrained optimization, quadratic programming, unconstrained and constrained nonlinear least squares, box-...

We study the use of learning for cross-layer optimization of wireless networks. In particular, we incorporate learning in the form of graphical models into our cognitive engine performing network utility maximization task using simulated annealing. Our results show that this learning approach can significantly accelerate the convergence rate of the optimizer, and help in adjusting to changes in...

foaming conditions of the red beet (beta vulgaris l) puree were optimized using response surface methodology (rsm) with respect to arabic gum concentrations (0.01 – 0.4% w/w), red beet puree (40 _ 60% w/w),egg white concentration( 5 _ 15% w/w) and whipping time (3 – 9 min) for minimum foam density and foam drainage volume as response variables. foams were prepared from various pulp concentratio...