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Showing 1 to 2 of 2 for “"Perturbation Modeling"”.

  1. Perturbation Modeling for Molecular Design of Protein Tyrosine Kinase Inhibitors using Unsupervised Machine Learning

    … The goal of this study pertains to creating a perturbation modeling framework in which we can conduct transformations of small molecules to SRC kinase inhibitors using a combination of a generative learning technique called Variational Auto-Encoders and Unsupervised Machine Learning techniques. …

    chapman Repository record for Perturbation Modeling for Molecular Design of Protein Tyrosine Kinase Inhibitors using Unsupervised Machine Learning (opens in a new tab)

  2. Decomposition of Time Scales in Linear Systems and Markovian Decision Processes

    … scale systems has motivated the use of singular perturbations as a means of obtaining reduced order models for analysis and control law design. In this thesis we establish how systems having this "two-time-scale" property can use singular perturbation modeling to make this property explicit …

    uiuc Repository record for Decomposition of Time Scales in Linear Systems and Markovian Decision Processes (opens in a new tab)