Searched for: subject:"dropout"
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Verberne, Stijn (author)
Clients with a mortgage loan may prepay a part of their loan before the contractual date. This is called prepayment. In the case of a prepayment, the bank who issued the loan earns less interest than ini- tially agreed. It is therefore essential to build accurate models for predicting prepayment behavior. In this thesis, machine learning models...
master thesis 2019
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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
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Nugroho, H. (author)
Optical beamforming networks (OBFNs), which consist of many small and flat antennas, called phased array antennas (PAAs), can be tuned such that the signal beam from the airplanes can be steered towards a satellite. This was proposed as a alternative to the mechanically steered antenna, which has many disadvantages. The problem of tuning a large...
master thesis 2015
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Rossouw, A. (author)
Background: Students starting off on a tertiary education program but then dropping out again before obtaining their degree is a big problem worldwide. One of the most important reasons mentioned for this is “making the wrong study choice”. Proper information can help high school students to make a “right” choice. The Delft University of...
master thesis 2012
Searched for: subject:"dropout"
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