Essays about: "Regularisering"
Showing result 16 - 20 of 30 essays containing the word Regularisering.
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16. Neural Network Regularization for Generalized Heart Arrhythmia Classification
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Arrhythmias are a collection of heart conditions that affect almost half of the world’s population and accounted for roughly 32.1% of all deaths in 2015. More importantly, early detection of arrhythmia through electrocardiogram analysis can prevent up to 90% of deaths. READ MORE
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17. Semi-Supervised Methods for Classification of Hyperspectral Images with Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hyperspectral images (HSI) can reveal more patterns than regular images. The dimensionality is high with a wider spectrum for each pixel. Few labeled datasets exists while unlabeled data is abundant. This makes semi-supervised learning well suited for HSI classification. READ MORE
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18. Distributed Bayesian Optimization in Multi-Agent Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A variety of engineering problems require extremely resource consuming system performance optimization with an inaccessible system model, some examples include tuning the hyper-parameters in a complex machine learning model, simulation-based aerodynamic design and power system optimization. Bayesian optimization is an approach to solve black-box optimization problems when sample efficiency is of high priority. READ MORE
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19. Estimating Weight of Pressed Carbide Inserts using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In any mass-scale production pipeline, even the slightest efficiency improvement can have massive beneficial implications in terms of cost and time. Therefore, at Sandvik Coromant there is a drive to innovate and implement new technologies that can be integrated into their carbide insert production line. READ MORE
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20. New Variants of Nonnegative Matrix Factorization with Application to Speech Coding and Speech Enhancement
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, new variants of nonnegative matrix factorization (NMF) based ona convolutional data model, -divergence and sparsication are developed andanalyzed. These NMF variants are collectively referred to as -CNMF. Commonsparsication techniques such as L1-norm minimization and elastic net arediscussed and a new regularizer is proposed. READ MORE
