Searched for: contributor:"Loog, Marco (mentor)"
(1 - 12 of 12)
document
Bertazzi, Andrea (author)
Semi-supervised algorithms have been shown to possibly have a worse performance than the corresponding supervised model. This may be due to a violation of the assumptions on the data that are introduced in most classification systems. We study an approach that was previously shown to have guarantees of improvement for the LDA classifier in terms...
master thesis 2018
document
Gabriel, Luka (author)
Both MRI and CT imaging are commonly used and combined in medical imaging because of their complementary information about soft tissue and bone respectively. However, CT imaging relies on harmful ionizing radiation. Thus medical imaging scientists are working on transferring harmless MRI scans to CT-like images where using deep learning methods...
master thesis 2018
document
Garbacz, Mateusz (author)
Being capable to foresee the future of a given financial asset as an investor, may lead to significant economic profits. Therefore, stock market prediction is a field that has been extensively developed by numerous researchers and companies. Recently, however, a new branch of financial assets has emerged, namely cryptocurrencies. As a...
master thesis 2018
document
Starre, Rolf (author)
Recent Reinforcement Learning methods have combined function approximation and Monte Carlo Tree Search and are able to learn by self-play up to a very high level in several games such as Go and Hex. One aspect in this combination<br/>that has not had a lot of attention is the action selection policy during self-play, which could influence the...
master thesis 2018
document
Juchli, Marc (author)
For various reasons, financial institutions often make use of high-level trading strategies when buying and selling assets. Many individuals, irrespective or their level of prior trading knowledge, have recently entered the field of trading due to the increasing popularity of cryptocurrencies, which offer a low entry barrier for trading....
master thesis 2018
document
Raats, Jason (author)
Forecasting football match outcomes have been investigated previously, with the primary goal of these studies being to accurately predict the outcome for the highest number of matches. This thesis takes a different approach, comparing different methods to investigate which would result in the highest profit, rather than focusing on predictive...
master thesis 2018
document
Razoux Schultz, Lex (author)
Automated Sentiment Classification (SC) on short text fragments has been an upcoming field of research. Different machine learning techniques and word representation models have proven to be successful in classifying sentiment of opinion expressions in various domains, i.e. different topics or source media. However, when training on a source...
master thesis 2018
document
Ju, Jihong (author)
Training data for segmentation tasks are often available only on a small scale. Transferring learned representations from pre-trained classification models is therefore widely adopted by convolutional neural networks for semantic segmentation. In domains where the representations from the classification models are not directly applicable, we...
master thesis 2017
document
van Bekhoven, Sjoerd (author)
Voluntary employee turnover is the process of an employee voluntarily choosing to resign from a company. High voluntary turnover has been shown to have negative effect on both organisational and financial performance of companies. Therefore, if companies were to know which individuals would leave their company in the coming months, this would...
master thesis 2017
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Zhou, Yuan (author)
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master thesis 2017
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Kingma, Friso (author)
Overfitting is a common problem when learning models from noisy observational data. This problem is especially present in very flexible models, such as Neural Networks, which can easily fit to spurious patterns in the data that are not indicative of true underlying patterns. One technique that conquers the problem of overfitting is Bagging, an...
bachelor thesis 2017
document
van Dorth, Matthijs (author)
master thesis 2017
Searched for: contributor:"Loog, Marco (mentor)"
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