Now showing items 1-10 of 10

    • Bayesian collaborative sampling: adaptive learning for multidisciplinary design 

      Lee, Chung Hyun (Georgia Institute of Technology, 2011-11-14)
      A Bayesian adaptive sampling method is developed for highly coupled multidisciplinary design problems. The method addresses a major challenge in aerospace design: exploration of a design space with computationally expensive ...
    • Bayesian data mining techniques in public health and biomedical applications 

      Jeon, Seonghye (Georgia Institute of Technology, 2012-04-04)
      The emerging research issues in evidence-based healthcare decision-making and explosion of comparative effectiveness research (CER) are evident proof of the effort to thoroughly incorporate the rich data currently available ...
    • Bayesian framework for improved R&D decisions 

      Anand, Farminder Singh (Georgia Institute of Technology, 2010-03-25)
      This thesis work describes the formulation of a Bayesian approach along with new tools to systematically reduce uncertainty in Research&Development (R&D) alternatives. During the initial stages of R&D many alternatives are ...
    • Bayesian methods in determining health burdens 

      Metcalfe, Leanne N. (Georgia Institute of Technology, 2008-08-20)
      There has been an almost 60 percent increase in health care expenditures in the US in the past seven years. Employer-sponsored health coverage premiums have increased significantly (87 percent) in this same period. Besides ...
    • General Bayesian approach for manufacturing equipment diagnostics using sensor fusion 

      Locks, Stephanie Isabel (Georgia Institute of Technology, 2016-05-27)
      Statistical analysis is used quite heavily in production operations. To use certain advanced statistical approaches such as Bayesian analysis, statistical models must be built. This thesis demonstrates the process of ...
    • Global sources and distribution of atmospheric methyl chloride 

      Yoshida, Yasuko (Georgia Institute of Technology, 2006-07-03)
      Global simulations of atmospheric methyl chloride (CH3Cl) are conducted using the GEOS-Chem model in order to understand better its sources and sinks. Though CH3Cl is one of the most abundant organic chlorine species in ...
    • Hidden Markov model with application in cell adhesion experiment and Bayesian cubic splines in computer experiments 

      Wang, Yijie Dylan (Georgia Institute of Technology, 2013-06-28)
      Estimation of the number of hidden states is challenging in hidden Markov models. Motivated by the analysis of a specific type of cell adhesion experiments, a new frame-work based on hidden Markov model and double penalized ...
    • An ITK Filter for Bayesian Segmentation: itkBayesianClassifierImageFilter 

      Melonakos, John; Krishnan, Karthik; Tannenbaum, Allen R. (Georgia Institute of TechnologyInsight Software Consortium, 2006-01-09)
      An Insight Toolkit (ITK) filter for image segmentation with applications to brain MRI scans is presented in this paper. Previously, we showed how ITK could be used to implement our algorithm. This paper presents our new ...
    • A new nonlinear hydrologic river routing model 

      Kim, Dong Ha (Georgia Institute of Technology, 2011-11-11)
      A key element of hydrologic routing models is the storage-discharge relationship assumed to follow a certain mathematical form, usually a linear or a power function, the parameters of which are calibrated based on existing ...
    • A Probabilistic Approach to the Semantic Interpretation of Building Facades 

      Alegre, Fernando; Dellaert, Frank (Georgia Institute of Technology, 2004)
      We present a probabilistic image-based approach to the semantic interpretation of building facades. We are motivated by the 4D Atlanta project at Georgia Tech, which aims to create a system that takes a collection of ...