Searched for: subject:"active%5C+learning"
(1 - 7 of 7)
document
Praharaj, Sambit (author)
Attention span of students in a classroom is very short. To overcome this, different active learning methodologies have been used in the past. Active learning keeps the students busy and engaged throughout the lecture. It breaks the lecture into certain time intervals by intermixing breaks, demonstrations and questions after each interval. For...
master thesis 2017
document
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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Pals, T.E. (author)
This paper evaluates a method that improves segmentation e ciency by intelligently suggesting planes where correction is most valuable. An existing method is extended to work for segmentation of multiple bones simultaneously. This method is evaluated because in clinical practice it is often necessary that scans are segmented very accurate. When...
master thesis 2017
document
Viering, T.J. (author)
In many settings in practice it is expensive to obtain labeled data while unlabeled data is abundant. This is problematic if one wants to train accurate (supervised) predictive models. The main idea behind active learning is that models can perform better with less labeled data, if the model may choose the data from which it learns. Active...
master thesis 2016
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Bilen, H. (author), Zwart, M.D. (author)
With the current increase of user generated data, the need for tools to process large quantities of data is increasing. One of the courses of the Computer Science BSc curriculum is the Big Data Processing course. The Big Data Processing course teaches students ways of doing so. A popular and teached method is using MapReduce, a programming model...
bachelor thesis 2016
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Janssen, M. (author)
Software obfuscation is widely applied to prevent reverse engineering of applications. However, to evaluate security and validate behaviour we are interested in analysis such software. In this thesis, we give an overview of available obfuscation techniques as well as methods to undo this effort through reverse engineering and deobfuscation. We...
master thesis 2016
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Van Tulder, G. (author)
Recent advances in importance-weighted active learning solve many of the problems of traditional active learning strategies. But does importance-weighted active learning also produce a reusable sample selection? This thesis explains why reusability can be a problem, how importance-weighted active learning removes some of the barriers to...
master thesis 2012
Searched for: subject:"active%5C+learning"
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