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 11 of 11 for “"predictor model"”.
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Two-time-scale predictor model using scan of anticipated input.
Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Thesis. 1965. M.S.
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Relationship of Intention, Goals, and Cognitive Risk -Taking to Expertise in Technical Troubleshooting
… of the relationships were made using a three-predictor model and multiple regression procedures. Results showed that intention, goals, and cognitive risk-taking account for 27% (R2) of the variance in expertise (F (3, 71) = 8.56, p = .01). These findings indicate that an affective component …
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Tabular Machine Learning on Small-Size and High-Dimensional Data
… improve the generalisation of machine learning models on small-size and high-dimensional tabular datasets. Tabular data – tables where each row represents an individual record and each column represents features – is ubiquitous in critical fields such as medicine, scientific research and …
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Application of probabilistic deep learning models to simulate thermal power plant processes
… the best performing architectures for these models. Comparisons are drawn between the MDN model versus standard model architecture in both case studies. The HTC predictor model achieved 90% accuracy which equates to an average error of 4.89 W m2K across all heat exchangers. The resultant …
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Comparison of the abilities of historical and current cost information to predict funds flows
… would have the potential to be better predictors of funds flows than the others. Since industry differences would affect current cost versus historical cost measurements as well as a firm's ability to pass along price changes, industry classification would have an effect on the funds …
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Ancestry-independent osteometric sex estimation from selected postcranial skeletal elements of South Africans: a machine learning approach
… to train ancestry independent sex classification models using postcranial osteometric measurements from the cadaveric skeletal remains of modern South Africans, focussing on long bone joints. The study consisted of a roughly demographically representative, pooled sample, of 650 South Africans (325 …
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Public Participation In Transportation: An Emperical Test For Authentic Participation
… exist in public participation. The result was a Model of Authentic Public Participation that served as the basis for creation of a new four-tiered methodology to assess the performance of these districts relative to authenticity requirements. This study also sought to identify the key …
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COMPETING FOR RESOURCES: WORKING MEMORY AND PERFORMANCE ANXIETY IN U.S. PIANO STUDENTS
… working memory remained a significant predictor after controlling for depression, state anxiety, and social anxiety (β = .176, p = .029), with the four-predictor model explaining 51.8% of K-MPAI variance. State anxiety partially mediated the working memory–MPA relationship, accounting …
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Job Satisfaction and its Relationship to Organizational Commitment and Religious Commitment for Andrews University Employees
… commitment and job satisfaction. A seven-predictor model explained 44.2% of the variance of organizational commitment. Different predictor models were found for the four occupational subgroups. Religious commitment did not have a mediating effect on the relationship between job …
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Predicting student performance on the Texas Assessment of Academic Skills Exit Level Exam: Predictor modeling through logistic regression.
The purpose of this study was to investigate predicting student success on one example of a "high stakes" test, the Texas Assessment of Academic Skills Exit Level Exam. Prediction algorithms for the mathematics, reading, and writing portions of the test were formulated using SPSS® statistical …
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Manifold learning techniques and statistical approaches applied to the disruption prediction in tokamaks
… has not gone so far as to provide an analytical model describing the onset of these instabilities and the main effort has been devoted to develop data-based methods. In the present thesis the development of a reliable disruption prediction system has been investigated using several data-based …