Essays about: "Inverse Problem"
Showing result 11 - 15 of 109 essays containing the words Inverse Problem.
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11. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. READ MORE
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12. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE
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13. Modelling of a Heat Conduction Calorimeter Used in Cement Plant Automation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : A model is used to describe a system physically or mathematically and to give information about changes in the system variables. Physical knowledge about the system and its quantities can be useful to build a physical model obeying the laws of nature. READ MORE
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14. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE
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15. Estimating Believed Knowledge of Portfolio Agents Using Inverse Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this report, we demonstrate the utility of inverse optimization in convex programming by applying it on estimating financial market beliefs and behaviors of portfolio investors. The inversion of the optimization utilized the Karush–Kuhn–Tucker optimality conditions specified for the current situation. READ MORE