Searched for: +
(1 - 20 of 170)

Pages

document
De Vries, J.A. (author)
Cyber-attacks against companies and governments are seeing an increase in complexity and persistence. These more complex attacks are aimed at penetrating corporate and government networks to obtain classified information. Common intrusion detection methods lack in their ability to detect such complex attacks. A framework is proposed to relate...
master thesis 2012
document
Hendrikx, M.J.C. (author)
Automated negotiation agents are agents that interact in an environment for the settlement of a mutual concern. An important factor influencing the performance of a negotiation agent is how it takes the opponent into account. The main challenge in this aspect, is that opponents typically hide private information to avoid exploitation. In such a...
master thesis 2012
document
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
document
Spadaro, A. (author)
Rapidly evolving IT infrastructures bring beneficial effects to society and promote information sharing and use. However, vulnerabilities create opportunities for hostile users to perform malicious activities and IT security has gradually turned into a critical research area for organizations and governments. Processes of decision making in...
master thesis 2013
document
Li, Z. (author)
Authorship verification is one subfield of authorship analysis. However, the majority of the research in the field of authorship analysis is on the authorship identification problem. The authorship verification problem has received less attention than the authorship identification problem. Thus, there is a demand for a study on the authorship...
master thesis 2013
document
Dentro, S.C. (author)
Next generation sequencing is brought into the clinic. Screening of disease associated genes will aid the diagnosis of disorders with a genetic component. The diagnosis of cancer is of particular interest due to its variety and prevalence. The obtained mutations provide clues about underlying biological properties that could be used for...
master thesis 2013
document
Palachanis, D. (author)
Cell differentiation is a natural process occurring in all higher organisms, since the early fetal stage of life. It is, also, a part of disease – such as cancer – as the cell cycle becomes deregulated and cells behave differently compared to healthy ones. Differentiation occurs although the genome of all cells is identical across all cell types...
master thesis 2014
document
Holkamp, Y.H. (author)
Emotion has been shown to have a large impact on our interactions with people and devices. In our daily lives, however, these emotions are not taken into account when working with our computers and other machines. If our devices could pick up on social cues, for instance in relation to disinterest, the usability of various systems could be...
master thesis 2014
document
Selman, H.S. (author)
Nowadays, a high number of transactions are performed via internet banking. Rabobank processes more than 10 million transactions per day. Most of these transactions are (part of) normal behaviour. On the other hand, some transactions are considered to be out of the ordinary. These anomalous events occur relatively infrequently (less than 10 per...
master thesis 2015
document
Paalvast, M. (author)
Each surgical procedure varies in length. There’s a need for dynamic planning to have an optimal patient flow from their beds to the operating room. This paper proposes an adaptive system that predicts the end of a gallbladder removal surgery 25 minutes in advance with the use of Support Vector Machines based on the activations of the...
master thesis 2015
document
Proimadis, I. (author)
System identification is the art of constructing mathematical models from observed data. It is a well established field with a history of over 40 years, characterized by a rich theoretical background, while it has proven its worth in many real life applications. On the other hand, Gaussian processes form a specific category of kernel based...
master thesis 2015
document
De Jong, N. (author)
Twitter contains massive amounts of user generated content that also contains a lot of valuable information for various interested parties. Twitcident has been developed to process and filter this information in real-time for interested parties by monitoring a set of predefined topics, exploiting humans as sensors. An analysis of the relevant...
master thesis 2015
document
Krishnakumari, P.K. (author)
Osteoarthritis is a degenerative joint disease which is hard to diagnose objectively and may vary based on the surgeon. This disease is usually diagnosed by measuring several characteristic features of Hip X-rays mainly the joint distance between the femoral head and acetabular cup. Hip joint distance reduction is a clear symptom of...
master thesis 2015
document
Runia, T.F.H. (author)
In this thesis we design, implement and study a high-speed object detection framework. Our baseline detector uses integral channel features as object representation and AdaBoost as supervised learning algorithm. We suggest the implementation of two approximation techniques for speeding up the baseline detector and show their effectiveness by...
master thesis 2015
document
Chandrasekaran Ayyanathan, P.S.N. (author)
Since the advent of Web 2.0, users have not only increasingly created content, but also contributed reactions to content in the form of comments. Comments are challenging to analyze due to their short lengths and informal style, meaning that any individual comment provides very little data to work with and is highly variable. However, comments...
master thesis 2015
document
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
document
Raats, J.M. (author), Van der Zwan, L.F. (author)
The Investment Department of ING asked us to build a model that predicts customer loyalty using the Net Promoter Score (NPS) system and a dashboard that would show the results of the model. With this model and dashboard ING may be able to get an insight into which groups of customers are at risk to complain.
bachelor thesis 2015
document
Olij, D.J.C. (author)
In this thesis 6 wave climate reduction methods are described and evaluated. Of these methods, 3 are commonly used in literature and 3 are machine learning methods that are adjusted so that they can be used for the reduction of a wave climate. The evaluation is executed with the use of a Delft3D model of the coast of Durban, South Africa.
master thesis 2015
document
Gonzalez Godinez, L.A. (author)
Wearable devices have paved way for several context-aware applications in the field of health-care and sports to improve the well-being of users and their performance for human augmentation. During rehabilitation patients need accurate feedback that can empower and improve the speed of recovery. On the other hand competitive athletes need a...
master thesis 2016
document
Langenkamp, W.H. (author)
Reinforcement learning is a machine learning paradigm that deals with optimisation and learns by interacting with its environment. Tabular reinforcement learning methods are popular because of their relative simplicity combined with good guarantees of finding an optimal solution. The downside is that they suffer from an exponentially growing...
master thesis 2016
Searched for: +
(1 - 20 of 170)

Pages