Essays about: "I have learned"
Showing result 21 - 25 of 237 essays containing the words I have learned.
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21. Federated Learning for Natural Language Processing using Transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. READ MORE
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22. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE
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23. CondBEHRT: A Conditional Probability Based Transformer for Modeling Medical Ontology
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : In recent years the number of electronic healthcare records (EHRs)has increased rapidly. EHR represents a systematized collection of patient health information in a digital format. EHR systems maintain diagnoses, medications, procedures, and lab tests associated with the patients at each time they visit the hospital or care center. READ MORE
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24. Optimizing L2-regularization for Binary Classification Tasks
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. READ MORE
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25. Re-Treat Yourself
University essay from KTH/ArkitekturAbstract : In my thesis project I wanted to learn about how architecture affects people and how we can design spaces that can make people feel less stressed. I started out by researching about environmental psychology and the senses and combined what I learned into a building that can help promote mental well being. READ MORE