Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"learning loop"”.
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Exploring Knowledge Transfer and Knowledge Building at Offshore Technical Support Centers
… built through two continuous knowledge building loops, an explicit learning loop and an implicit learning loop. The organizational knowledge building model demonstrates the interaction amongst knowledge flow, absorptive capacity, knowledge stock and knowledge intermediary in offshore knowledge …
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Evolutionary algorithms for compiler-enabled program autotuning
… of available resources are devoted to always-on learning. We evaluate INCREA and SiblingRivalry on a large number of real-world benchmarks, and show that our autotuners can significantly speed up PetaBricks programs with respect to many non-tuned and mis-tuned baselines. Our results indicate the …
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Robust Analog Circuit Parameter Optimization with Sampling-Efficient Reinforcement Learning
… field. Recently, multiple methods based on learning or optimization have demonstrated great promise in automating device sizing for analog circuits. However, they often ignore the strong susceptibility of analog circuits to process, voltage, and temperature (PVT) variations or suffer from …
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Structural Priors for Active Learning on Robots
… on a real robot is slow and expensive. Active learning, in which the learner chooses the data that will best accelerate learning, has been shown to reduce data requirements in machine learning and statistics applications, but has seen limited application to real robots. This thesis leverages …
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Fast Supervised Annotation and Active Learning with Uncertainty for Cloud Mask Dataset Generation
… that exist. Currently, no general machine learning methods can automatically generate data labels in all regimes. A chief data labeling concern for remote sensing projects is cloud mask dataset creation. Using optical satellite images requires detecting accurately all clouds in any image. …
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Iterative learning control: algorithm development and experimental benchmarking
… area of experimental benchmarking of Iterative Learning Control (ILC) algorithms using two experimental facilities. ILC is an approach which is suitable for applications where the same task is executed repeatedly over the necessarily finite time duration, known as the trial length. The process …
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Enhancing Neural Network Performance through SHAP-based Latent Class Integration
Deep learning models have become powerful tools for modeling complex, nonlinear relationships in biomedical data, yet they often operate under the implicit assumption that all features contribute uniformly across all observations. This assumption is particularly limiting in clinical settings like …
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A Reactive Search Optimization approach to interactive decision making
… Optimization (RSO) advocates the integration of learning techniques into search heuristics for solving complex optimization problems. In the last few years, RSO has been mostly employed in self-adapting a local search method in a manner depending on the previous history of the search. The …
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Building Physics Tools: Needs, Use and the Lack of Use in the Building Process. Modelling Non-Isothermal Moisture Flow and Frost Penetration
Despite advances in material science, computers and building technology, building failures related to building physics continue to occur. These failures range from a building not meeting its energy use target to a building causing people to become ill from exposure to various chemicals or …