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 6 of 6 for “"data splitting"”.
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Evaluation, Interpretation, and Maintenance of Machine Learning Models for IT Operations
… IT Operations) solutions leverage the massive data generated during the operation of large-scale systems and machine learning models to assist in managing system operations. While prior studies focus on innovative modeling techniques to improve the performance of AIOps models, how to smoothly …
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An adaptive agent architecture for exogenous data sales forecasting
… they would benefit from a reliable exogenous data sales forecasting system. We implement the system using BaBe, and incorporate a Bayesian network representing the causal relationships affecting sales. We introduce a learning adjustment component to adjust the estimated sales towards closer …
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Net-PPI : mapping the human interactome with machine learned models
… NetPPI, a minimally-biased, carefully curated dataset of experimentally detected PPIs for training and evaluation of machine learning models; a comprehensive study of protein sequence representations for use with discriminative models; and data splitting methodology for machine learning …
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Body composition of dogs determined by carcass composition analysis, deuterium oxide dilution, subjective and objective morphometry, and bioelectrical impedance
… Influence diagnostics, residual analysis and data splitting were used to validate predictive equations. Predictions from deuterium oxide dilution produced the most precise estimates of body composition. Average standard errors of estimation (SEE) from deuterium equations were 1.3, 1.8, 1.0, …
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Statistical Learning for Sequential Unstructured Data
Unstructured data, which cannot be organized into predefined structures, such as texts, human behavior status, and system logs, often presented in a sequential format with inherent dependencies. Probabilistic model are commonly used to capture these dependencies in the data generation process …
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MADD MESSAGE EFFECTS: A TWELVE-YEAR RANDOMIZED TRIAL
One out of three Americans undergoes drunk-driving crashes; 23% result in death. To deter DWIs (Driving While under Influence), MADD (Mothers Against Drunk Drivers) created VIPs (Victim Impact Panels) where victims impact offenders with gory stories, photos, and threats of punishments and loss of …