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Showing 1 to 2 of 2 for “"Self learning algorithms"”.

  1. Design and implementation of advanced Bayesian networks with comparative probability

    … utility theory. It enables engineers to write self-learning algorithms that use example of behaviours to model situations, evaluate and make decisions, diagnose problems, and/or find the most probable consequences in real-time. The new theory was particularly applied to the problems of …

    lancaster Repository record for Design and implementation of advanced Bayesian networks with comparative probability (opens in a new tab)

  2. Nanoscale modeling of materials: post deposition morphological evolution of fcc metal surfaces

    This dissertation is an extensive study of several issues related to post deposition morphological evolution of fcc metal surfaces. These studies were carried out by probing the energetics and the dynamics of underlying atomistic mechanisms responsible for surface diffusion. An important aspect is …

    ksu Repository record for Nanoscale modeling of materials: post deposition morphological evolution of fcc metal surfaces (opens in a new tab)