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 20 of 5229 for “"Datasets"”.
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Mining Complex High-Order Datasets
… structure for storage and analysis of complex datasets is a vital but often overlooked decision in the design of data mining and machine learning experiments. Most present techniques impose a matrix structure on the dataset, with rows representing observations and columns representing features. …
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Sampling Algorithms for Evolving Datasets
… set or multiset expression involving the local datasets, and provide efficient solutions based on hashing.
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Statistical Methods for Large Complex Datasets
… efficiently analyze a variety of large complex datasets. Underlying the umbrella theme of big data modeling, we present statistical methods for two different classes of large complex datasets. The first half of the thesis focuses on the 'large n' problem for large spatial or spatio-temporal …
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Blockchains For Publicizing Available Scientific Datasets
… it. We need a method of advertising available datasets to interested parties. Blockchains are a recent innovation developed by the cryptocurrency community, but are increasingly applied to other problem domains. Due to their currency heritage, however, the properties of blockchains do not …
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Joining and aggregating datasets using CouchDB
… as a means by which this can be achieved; first, datasets are processed via ETL operations, then MapReduce is used to create indices of ordered and aggregated data. Finally, a Couchdb list function is used to iterate through these indices and perform joins, and to compute aggregated values on …
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Visual datasets for artificial intelligence agents
In this thesis, I designed and implemented two visual dataset generation tool frameworks. With these tools, I introduce procedurally generated new data to test VQA agents and other visual Al models on. The first tool is Spatial IQ Generative Dataset (SIQGD). This tool generates images based on the …
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Aligning heterogenous single cell assay datasets
… of a number of different single-cell assays, datasets that collect multiple types of assays on the same cells are rare. In this thesis, we explore the ability of three methods to integrate datasets from different single-cell assays based on an existing paired single-cell dataset of ATAC-seq …
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Pinky : interactively analyzing large EEG datasets
… analyzing large electroencephalogram (EEG) datasets. Trained experts, known as encephalographers, analyze EEG data to determine if a patient has experienced an epileptic seizure. Since EEG analysis is time intensive for large datasets, there is a growing corpus of unanalyzed EEG data. Fast …
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Mining Security Risks from Massive Datasets
… by concealing their behaviors in massive datasets. One the other hand, it is becoming more and more difficult for existing tools to handle massive datasets with various data types. This thesis presents the attempts to address the challenges and solve different security problems by mining …
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Data-driven PSP linkages for atomistic datasets
… than their quantum-mechanical counterparts, the datasets often investigated are large in size (10^3 – 10^9 atoms) and high-dimensional, and thus cumbersome for use in multi-scale models. The development of quantitative “process-structure-property” (PSP) linkages for atomistic simulations presents …
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Analysis of dynamic contrast enhanced MRI datasets
… analysis of 4D dynamic contrast enhanced MRI datasets (DCE-MRI) of the habd and wrist relating to rheumatoid arthritis (RA) studies. In DCE-MRI, sequences of images are acquired from the joints over time, during which a contrast agent pre-injected into a patient enhances disease affected …
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Descriptive Statistical Attributes Of Special Education Datasets
… distributions. Three hundred ninety five datasets were collected, examined and classified according to distribution shape. The classification findings were compared with Micceri's (1989) classification of achievement and psychometric distributions. The findings indicate that there were …
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Quantum Machine Learning Applied to Astronomical Datasets
… learning approaches across multiple astronomical datasets. The primary goal was to benchmark quantum machine learning (QML) methods and assess their feasibility for real-world applications. The studies show that quantum methods are only competitive in very specific cases; for example, when …
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Information density in highly dimensional training datasets
Esta Tésis Doctoral presenta tres importantes contribuciones en el con- texto del análisis de la información contenida en conjuntos de datos que van a ser utilizados para entrenar modelos de Aprendizaje Automático. Estas contribuciones vienen dadas en la forma de nuevas herramientas y métricas para …
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Analyzing and synthesizing deformations in image datasets
Many tasks in computer vision and graphics, such as image registration, optical flow estimation and image warping, are concerned with measuring spatial deformations between images. Traditional algorithms for these applications often rely on solving an optimization problem for each test input. Some …
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Generating Representative Benchmarks by Automatically Synthesizing Datasets
… short: First, open-source benchmarks use public datasets that cause different behavior from production workloads. Second, black-box workload cloning techniques generate synthetic code that imitates the target workload, but the resulting program fails to capture most workload characteristics, such …
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Large Language Model Routing with Benchmark Datasets
… Large Language Models (LLMs) and benchmark datasets to compare them. While some models dominate these benchmarks, no single model typically achieves the best accuracy in all tasks and use cases. With a new dataset, it can be difficult to determine which LLM is best suited to the task. In …
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