Global ETD Search

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Showing 1 to 5 of 5 for “"cross prediction"”.

  1. A Study of Hydrogen-Bonded Solutions With NMR Spectroscopy

    … of the large number of unknown parameters. Also, cross prediction of other thermodynamic properties from the fitted parameters is usually not possible.

    uiuc Repository record for A Study of Hydrogen-Bonded Solutions With NMR Spectroscopy (opens in a new tab)

  2. Neural speech tracking in quiet and noisy listening environments using naturalistic stimuli

    … and speech alone stimuli, 3) utilize a cross-prediction analysis to predict the neural responses to a speech-in-noise condition from a clean speech condition, and vice versa. The first two analyses seek to understand which speech features drive brain responses measured from the scalp. …

    texas Repository record for Neural speech tracking in quiet and noisy listening environments using naturalistic stimuli (opens in a new tab)

  3. Contributions to Data Reduction and Statistical Model of Data with Complex Structures

    … and clustering coefficient. The clustering-based cross prediction can outperforms the conventional time series forecasting methods. Moreover, the the clustering result can also enhance the forecasting accuracy of other forecasting methods. The proposed method can be applied on practical data, such …

    vt Repository record for Contributions to Data Reduction and Statistical Model of Data with Complex Structures (opens in a new tab)

  4. Integrating cognitive, motivational, and emotional self-regulation in early stage entrepreneurs

    … research builds on past research and theory across the spectrum of psychological research on self-regulation, and integrates cognitive, motivational and emotional aspects, as they manifest in distal and proximal ways, and across the phases of the action process. The model draws on: …

    dcu Repository record for Integrating cognitive, motivational, and emotional self-regulation in early stage entrepreneurs (opens in a new tab)

  5. Molecular markers associated with barley yellow dwarf virus tolerance in spring oat and their utilization in predictive breeding

    … Model accuracies were evaluated using five-fold cross evaluation. GS models used ridge regression-best linear unbiased predictor (RR-BLUP) for marker effect estimation while MAS models used ordinary least square (OLS). Moderate to high prediction accuracies (0.5-0.9) were observed across the …

    uiuc Repository record for Molecular markers associated with barley yellow dwarf virus tolerance in spring oat and their utilization in predictive breeding (opens in a new tab)