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 9 of 9 for “"Data Contamination"”.
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Addressing data challenges in LLM-enhanced software engineering
… tasks like code generation benefit from large datasets and standardized benchmarks, they also face significant risks from data contamination and inflated model evaluations. Conversely, resource-constrained methods, such as flaky test detection, often operate under strict constraints, including …
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Flexible Statistical Models for Imprecise and Uncertain Data: A New Generalization Approach
… distribution allows the model to adapt to data characteristics that the original (or "base") distribution ν may not fully capture. We show that this generalized distribution corresponds to that of X + U, where X ~ ν and U is uniformly distributed over A, with X and U independent. This …
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Two-dimensional separate-sided surface height profiling of lumber
… profile is independent of the other and free of data contamination caused by relative motions between the measured surface and sensors. Point scanners and line scanners simultaneously record 1-D and 2-D height data, respectively, along the length of the board. One-dimensional height data are used …
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Knowledge representation and behavior understanding with pre-trained language models
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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On Aerothermal Optimization of Low-Pressure Steam Turbine Exhaust System
… of numerical simulation. Sparse experimental data from LPES rig can only give limited and sometimes misleading information for validation. To reduce the computational cost, a commonly used way is to build a surrogate model. However, manual parametrization of high-dimensional geometries like …
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Algorithms for Distributionally Risk-Receptive and Robust Stochastic Integer Programs and Interdiction Problems
… and provide robust solutions under data contamination.
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Principal component analysis and classification of discrete and mixed feature datasets using Gaussian copula
Nowadays, datasets with discrete features are quite common. Such datasets have complete discrete features or mixed continuous and discrete features, and many of them have a quite high dimension. However, the models for datasets with mixed features are quite limited, as well as the dimensionality …
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Falls and multisensory processing: exploring multisensory perception as a potential rehabilitation avenue for fall-prone older adults
… to address these gaps in the literature. Pilot data are presented for this experimental study focused on exploring the impact of a programme of Physiotherapist-led exercise on behavioural and neurophysiological measures of multisensory integration in older fallers. This work highlighted a number …
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Coal waste deposition and the distribution of freshwater mussels in the Powell River, Virginia
… 15 years was apparent when compared to previous data. Contamination and siltation from coal washing facilities and abandoned mine lands are suspected of contributing to this decline.