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.
Results
Showing 1 to 20 of 41 for “"Non-linear relationships"”.
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Evaluation of optimum and near optimum pair selection methods for increasing predicted relative net income in Jersey cattle
To evaluate the importance of non-linear relationships between Relative net income per day of productive life (RNI/DPL) and individual traits, 921,915 potential offspring were simulated from all possible matings of 20,487 Jersey cows and 45 active AI sires. Predicted milk yield, fat yield, and 13 …
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Inference and decision making in large weakly dependent graphical models
… first part of this thesis, we show that Bayes linear methods provide a natural approach to modelling this data. We develop a new optimisation problem for Bernoulli random variables, called constrained Bayes linear, which has additional constraints incorporated into the Bayes linear optimisation …
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Modelling non-linear exposure-disease relationships in a large individual participant meta-analysis allowing for the effects of exposure measurement error
… to characterise the shape of risk factor–CHD relationships. Many of the risk factors for CHD considered by the ERFC are subject to substantial measurement error, and their relationship with CHD non-linear. We firstly consider issues associated with modelling the risk factor–disease …
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A Geospatial and Machine Learning Framework for Forecasting Ground Level Ozone Pollution
… highest accuracy due to their ability extract non-linear relationships from high dimensional, noisy data inputs.</p> <p>This research effort uses novel data sources, namely NOAA’s High Resolution Rapid Refresh (HRRR) meteorology model, and a long-short-term-memory (LSTM) neural network to …
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Investigation into the elements contributing to the constructs of sense of coherence and hardiness with particular reference to clinical utility
… statistics, differences, distributions, non-linear relationships, and Confirmatory Factor Analysis.<br/><br/>Findings suggested that personality may be a confounding variable in the measurement of the these constructs and that this may explain the relationship with psychological health. …
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Institutions and social-ecological synergies in Indian agriculture
… complexity in local-level institutions, examine non-linear relationships between institutions and social-ecological outcomes and associated political arenas to better design interventions.
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Evaluating Predictive Models for Predicting Total Score of Beef Carcasses
… compares the performance of First Order Multiple Linear Regression (MLR) with three machine learning techniques: K-Nearest Neighbors (KNN), Random Forest, and Gradient Boosting Machine (GBM).</p> <p>The analysis focuses on six key predictors: Hot Carcass Weight, Back Fat Thickness, Ribeye Area, …
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Evaluating impacts of hydroclimatic extremes on water use efficiency and carbon use efficiency of northern ecosystems
… Forest, was employed to capture complex, non-linear relationships. The results indicate a concerning increase in drought frequency and severity in the high latitudes from 2016 onwards. While both WUE and CUE generally exhibited higher median values under dry conditions across most …
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Correlation of subjective and objective handling of vehicle behaviour
… between the subjective and objective data [2]. Non-linear relationships in the correlation of subjective vs. objective data have been investigated for the first time [3] using non-linear genetic algorithms, which, in addition have not previously been used to correlate driver subjective ratings …
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Network Inference Using Independence Criteria
… criteria: distance covariance (dCov), kernel canonical variance (KCC), kernel generalized variance (KGV) and the Hilbert-Schmidt Independence Criterion (HSIC). We provide easy to understand geometrical interpretations for these criteria. We also explicitly show the equivalence of dCov, KGV and …
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Exploring the combined use of electrical and hemodynamic brain activity to investigate brain function
… the inability of the cross correlation to take non-linear relationships into account may distort outcomes. Therefore, In chapter 5 non-linear aspects of the relationship were evaluated by introducing the measure of relative cross mutual information. A newly suggested approach and the most …
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Machine Learning for causal Inference on Observational Data
… and beyond. The ability to learn complex non-linear relationships of some machine learning algorithms have been trying to detect and predict policies, in which given the particular features of an individual (patient) the algorithms could determine whether or not to apply the treatment to …
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Mathematical modelling of asymmetrical metal rolling processes
… exist in the literature; and complex non-linear relationships are seen to exist between asymmetries, roll geometry and induced curvature. The collated data from the studies reviewed were insufficient to determine these relationships empirically; and neither analytical models, including …
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Leveraging Machine Learning and Causal Inference for Loan Default Prediction
… developed using TensorFlow and Keras to explore non-linear relationships in the data lacked in performance compared to the traditional models. Between the two RFE methods tested, the results showed that models that selected their features using DML were more consistent with each other, making the …
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Predicting Disease Progression Using Deep Recurrent Neural Networks and Longitudinal Electronic Health Record Data
… wherein the DRNN is able to model complex non-linear relationships between event points in the longitudinal data both temporally and . Such an approach is critical when seeking to transition from traditional evidence-based care models to precision medicine paradigms. Furthermore, our …
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Portfolio valuation in early drug development : a systematic accounting of utility
… as input. Applying value functions that use non-linear relationships between input capability and the resulting value to the company, an amalgamated utility value is estimated for the drug portfolio in the context of a given company and / or investment strategy. This value mapping allows for …
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Evaluating System Performance in a Complex and Dynamic Environment
… and/or system efficiency performance is dynamic, non-linear, and a function of multiple interactions in production. However, in the efficiency literature, system performance is frequently evaluated considering linear combinations of the input/output variables, without explicitly taking into …
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Including Generative Mechanisms in Project Scheduling using Hybrid Simulation
… scheduling concepts that can be linked through non-linear relationships, feedback and time delays. Operationalisation of these ideas proceeds through designing, building and testing a scheduling engine, as a proof of principle. Its scheduling capabilities are benchmarked against research …
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Synoptic controls on ozone over the northeastern US and continental export
… air quality from regional to global scale. The relationships between circulation and tropospheric ozone (O3) levels were investigated for the surface over the northeastern U.S. as well as for the spring-, winter- and summertime North American export and trans-Atlantic Transport. The latter …
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Scaling Nature-based Solutions in Urban Areas: Assessment Methods and Insights for Planning and Design
… in terms of ES supply and beneficiaries. The non-linear relationships between NbS implementation and impacts served to discuss critical issues for planning NbS scaling-out strategies. The last study of the thesis investigated the design of specific NbS at the local scale for urban stormwater …
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