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 5 of 5 for “"Time series predictions"”.
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Neural Network Learning for Time-Series Predictions Using Constrained Formulations
… to neural network learning for near noiseless time-series benchmarks, we achieve much improved prediction performance as compared to that of previous work, while using less parameters. For noisy time-series, such as financial time series, we have studied systematically trade-offs between …
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Supervised Machine Learning Techniques for Short-Term Load Forecasting
… its purpose as the go to model when it comes to Time-Series Predictions with a MAPE of 2.44 %. The observations from these Machine learning models gives the conclusion that the models depend on the actual Data set availability and the application and scenario in play</p>
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Building Inventory Simulations for High Velocity Garment Retail Stores
… fully connected neural network models at making time series predictions using two time series as inputs. It also rigorously dives into the limitations and advantages of various model architectures, including the selection of variables, treatment of multiple time series, order of predictions, and …
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DATA-DRIVEN ANALYTICAL MODELS FOR IDENTIFICATION AND PREDICTION OF OPPORTUNITIES AND THREATS
… new techniques that not only provide reliable timeseries predictions but uncertainty quantification to help make more informed decisions. The proposed ensemble framework consists of the following components: first, processed domain knowledge is used to extract a set of entity-domain features; …
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On Deep Network Optimization
… including natural language processing, vision, time series predictions and many more. The second part of this thesis addresses several issues when training or fine-tuning transformer-based architectures. We explore optimization avenues such as mitigating catastrophic forgetting in transformers, …