Essays about: "Överföra lärande"
Showing result 1 - 5 of 6 essays containing the words Överföra lärande.
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1. eID in the e-learning Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : At present, there are different Electronic Identity (eID) systems utilized in EU, resulting in difficulties to carry eID information and transfer eID data of e-learning systems from one EU country to another. A project entitled Secure idenTity acrOss boRders linKed (STORK) was launched to address this problem, by installing a Pan European Proxy Service (PEPS) server. READ MORE
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2. Improving Training of Differentiable Neural Computers on Time Series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. READ MORE
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3. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. READ MORE
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4. DevOps for Data Science System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Commercialization potential is important to data science. Whether the problems encountered by data science in production can be solved determines the success or failure of the commercialization of data science. Recent research shows that DevOps theory is a great approach to solve the problems that software engineering encounters in production. READ MORE
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5. Improving Zero-Shot Learning via Distribution Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Zero-Shot Learning (ZSL) for image classification aims to recognize images from novel classes for which we have no training examples. A common approach to tackling such a problem is by transferring knowledge from seen to unseen classes using some auxiliary semantic information of class labels in the form of class embeddings. READ MORE