Searched for: subject:"machine%5C+learning"
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Liscio, Enrico (author)
Autonomous grasping is a key requisite for the autonomy of robots.
However, grasping of unknown objects in domestic environments is difficult due to the presence of unpredictability and clutter.
In this paper, a novel algorithm capable of finding an unobstructed grasping pose on unknown regular object shapes in cluttered environments is...
master thesis 2017
document
Ivanov, Viktor (author)
Model selection is associated to model assessment, which is the problem of comparing different models, or model hyperparameters, for a particular learning task. It constitutes a fundamental step in building machine learning models. The central question is: How a model will work in the future? In this thesis, a new model selection scheme for...
master thesis 2017
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Breider, Bas (author)
Motocross is a popular, but dangerous sport: improvements in performance and safety should be made to make it more attractive and less dangerous. By automatically recognizing activities of the rider on the track, riders can be informed about dangerous situations, and fans can be provided with insights into the performance of the riders. The goal...
master thesis 2017
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Warmerdam, Santor (author)
Automated instrument recognition is necessary to efficiently obtain instrumentation information for the existing large collections of digital music. While automated instrument recognition is possible with very high accuracy for monophonic fragments, the problem has not yet been solved for polyphonic mixes.In this work a system is designed for...
master thesis 2017
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Thomaidou, Eftychia (author)
In this research, we studied the impact of the 5'UTR sequences on translation. This is done by generating various features describing the 5'UTR. Those features are then used as input in regression and classification models, that have the Translation Initiation Rates as target. The reason why it is of such importance, is dual. Because is very...
master thesis 2017
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Meijer, Ricardo (author)
Container vessels arriving in a port before or after their scheduled time can cause problems in the container terminal planning and planning of hinterland transportation. This in turn leads to an increase of the costs in the supply chain. Vessels communicate their Estimated Time of Arrival via Automatic Idetification System(AIS) data to the port...
master thesis 2017
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Wansink, Jan-Douwe (author)
Changing market dynamics make that mining companies need to increase their equipment utilization and use their equipment more effectively. The growing availability of data from mining equipment and mining operations enables the use of data analytics to achieve that goal. This thesis explores the potential of data analytics and machine learning...
master thesis 2017
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Ravi, Siddharth (author)
This project addresses a fundamental problem faced by many reinforcement learning agents. Commonly used reinforcement learning agents can be seen to have deteriorating performances at increasing frequencies, as they are unable to correctly learn the ordering of expected returns for actions that are applied. We call this the disappearing...
master thesis 2017
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Wang, T. (author)
Demand driven building energy management system has gained significant interest in recent years. In order to provide insights for the demand driven building heating energy management at IDE building, TU Delft, this research develops an approach to access real time occupancy information by applying supervised machine learning (ML) classification...
master thesis 2017
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Requeno García, Laura (author)
This MSc thesis presents a stochastic modelling approach to the multi-period airline fleet planning problem. Approximate Dynamic Programming (ADP) is used to model the impact of demand uncertainty on fleet decisions. The proposed ADP algorithm applies local value function approximations resulting from Gaussian kernel regressions to estimate...
master thesis 2017
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Hugtenburg, Stefan (author)
Wireless sensor networks are commonly used to remotely and automatically monitor environments.
One of the main challenges in wireless sensor networks is to use the limited available energy as efficiently as possible, to ensure longevity of the network. For such networks to survive their intended deployment period no energy may be wasted on...
master thesis 2017
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Wiersma, Ruben (author), Nguyen, Hung (author), Geenen, Alexander (author)
As GeoPhy is developing its business model and looking into the future of automated valu- ation models (AVM), this project delivers a proof of concept of a system that automates the training, maintaining, and delivery of machine learning models for automated valuations. In order to achieve this goal, the situation and problem were first analysed...
bachelor thesis 2017
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Harrison, Joe (author), Dikken, Olivier (author), van Peer, Dennis (author)
FeedbackFruits is a company that provides tools for educators to organize their courses. The company is currently working on aiding teachers in aligning course material and assessment. Aligning the two provides students with clear expectations and can lead to an increase in learning [1]. Aligning course material and assessment is usually done by...
bachelor thesis 2017
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Santokhi, Maniek (author)
A world without digital images is unthinkable in this era of information and communication technology. Billions of images are created, shared and ultimately enjoyed by users every day. However, digital images are sensitive to a wide variety of distortions during the delivery mechanism it goes through. Any of the distortions that can arise during...
master thesis 2017
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Safarpour Erfani, Ramin (author), Bilstra, Cas (author), Koppers, Shane (author), List, Floris (author)
Omnicom Media Group (OMG) is a company heavily involved in marketing and advertising. Our client is Annalect, a solutions provider that helps the marketers of OMG to make data actionable. OMG has processed cookie data to help their marketers set up advertisement campaigns. They buy this cookie data from a 3rd party. They also manage, however, a...
bachelor thesis 2017
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Harting, Tom (author), Popping, Sven (author), Post, Mathieu (author), Swaab, Daniël (author)
Being a bank, bunq deals with transaction fraud on a regular basis. All transactions that are handled by bunq are monitored for these cases of fraud by a transaction monitoring system. When this system flags a transaction as being possibly fraudulent, a bunq employee has to manually check this transaction. The problem with the current system is...
bachelor thesis 2017
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Kolenbrander, Thomas (author), van Oort, Bart (author), de Ruiter, Frank (author), Yue, Tim (author)
This report describes the process of the Bachelorproject(TI3806) done for ‘De Energiebespaarders’, a startup in Amsterdam striving to make homes more energy efficient through accessible advice and installation of insulation or solar panels. The goal of the project was to apply machine learning to improve their system for identifying house...
bachelor thesis 2017
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Goedhart, Menno (author)
Flight control of the DelFly is challenging, because of its complex dynamics and variability due to manufacturing inconsistencies. Machine Learning algorithms can be used to tackle these challenges. A Policy Gradient algorithm is used to tune the gains of a Proportional-Integral controller using Reinforcement Learning. Furthermore, a novel...
master thesis 2017
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de Waard, Mike (author)
The aviation industry is vastly growing, as travelling by air is more common today than it ever was. However due too inefficiency and lack of communication of accurate flight information between airports, congestion and delays are occurring on a daily basis. While Collaborative Decision Making (CDM) is developed by Euro control to address this...
master thesis 2017
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Scherp, L. (author)
Airline maintenance technicians (AMTs) often still rely on paper-based documentation when performing a task. In the limited time during unscheduled tasks, obtaining the right information from these documents can take up to 30% of the available time. To speed up this process, in this thesis it is explored how an automated system can be created...
master thesis 2016
Searched for: subject:"machine%5C+learning"
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