Results 241 to 250 of about 12,796 (278)

Spray layering of human immunoglobulin G: Optimization of formulation and process parameters

International Journal of Pharmaceutics, 2021
Spray layering is a technique used to apply drug or functional polymers onto carrier beads; in addition, it can be used as an alternative method for protein drying and to layer protein on a multiparticulate delivery system. In this study, the effects of formulation variables and process parameters on human immunoglobulin G (IgG) properties during spray
Bowen, Jiang, Dongyue, Yu, Yongrong, Zhang, Hua, Yu, Hanping, Feng, Stephen W, Hoag   +5 more
openaire   +2 more sources

G-Optimal Design with Laplacian Regularization

Proceedings of the AAAI Conference on Artificial Intelligence, 2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attempts to discover the most informative data points for labeling.
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, Lijun Zhang, Cheng Zhang   +5 more
openaire   +1 more source

G-Optimal Feature Selection with Laplacian regularization

Neurocomputing, 2013
Feature selection is an important preprocessing step in many applications where the data points are of high dimension. It is designed to find the most informative feature subset to facilitate data visualization, clustering, classification, and ranking. In this paper, we consider the feature selection problem in unsupervised scenarios.
Guanhong Yao, Ke Lu, Xiaofei He
openaire   +1 more source

Locally regressive G-optimal design for image retrieval

Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 2011
Content Based Image Retrieval (CBIR) has attracted increasing attention from both academia and industry. Relevance Feedback is one of the most effective techniques to bridge the semantic gap in CBIR. One of the key research problems related to relevance feedback is how to select the most informative images for users to label.
Zheng-Jun Zha, Yan-Tao Zheng, Meng Wang, Fei Chang, Tat-Seng Chua   +4 more
openaire   +1 more source

Designing G-optimal experiments for robot dynamics identification

Proceedings of IEEE International Conference on Robotics and Automation, 2002
A common way to identify the robot dynamics is to use a linear model structure in relation to the parameters and standard least-square (LS) techniques. These techniques are sensitive to noise measurements and error modeling, so that it is necessary that the trajectory is "exciting enough" to provide an accurate estimate of the parameters.
E. Lizama, D. Surdilovic
openaire   +1 more source

G-optimal exact designs for quadratic regression

Journal of Statistical Planning and Inference, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A clustering-based coordinate exchange algorithm for generating G-optimal experimental designs

Journal of Statistical Computation and Simulation, 2015
In the optimal experimental design literature, the G-optimality is defined as minimizing the maximum prediction variance over the entire experimental design space. Although the G-optimality is a highly desirable property in many applications, there are few computer algorithms developed for constructing G-optimal designs. Some existing methods employ an
Moein Saleh, Rong Pan
openaire   +1 more source

Fast Computation of Exact G-Optimal Designs Via I_λ-Optimality

Technometrics, 2018
ABSTRACTExact G-optimal designs have rarely, if ever, been employed in practical applications. One reason for this is that, due to the computational difficulties involved, no statistical software system currently provides capabilities for constructing them.
Lucia N. Hernandez, Christopher J. Nachtsheim   +1 more
openaire   +1 more source

Nonpeptide Inhibitors of Cathepsin G:  Optimization of a Novel β-Ketophosphonic Acid Lead by Structure-Based Drug Design

Journal of the American Chemical Society, 2002
The serine protease cathepsin G (EC 3.4.21.20; Cat G), which is stored in the azurophilic granules of neutrophils (polymorphonuclear leukocytes) and released on degranulation, has been implicated in various pathological conditions associated with inflammation.
Michael N, Greco, Michael J, Hawkins, Eugene T, Powell, Harold R, Almond, Thomas W, Corcoran, Lawrence, de Garavilla, Jack A, Kauffman, Rosario, Recacha, Debashish, Chattopadhyay, Patricia, Andrade-Gordon, Bruce E, Maryanoff   +10 more
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On the equivalence of D and G-optimal designs in heteroscedastic models

Statistics & Probability Letters, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources