Searched for: +
(1 - 20 of 101)

Pages

document
Van den Eijkel, G.C. (author)
doctoral thesis 1999
document
Juszczak, P. (author)
The thesis treats classification problems which are undersampled or where there exist an unbalance between classes in the sampling. The thesis is divided into three parts. The first two parts treat the problem of one-class classification. In the one-class classification problem, it is assumed that only examples of one of the classes, the target...
doctoral thesis 2006
document
Landgrebe, T.C.W. (author), Duin, R.P.W. (author)
Receiver operator characteristic (ROC) analysis has become a standard tool in the design and evaluation of two-class classification problems. It allows for an analysis that incorporates all possible priors, costs, and operating points, which is important in many real problems, where conditions are often nonideal. Extending this to the multiclass...
journal article 2008
document
Khoshelham, K. (author), Nardinocchi, C. (author)
This paper presents a learning Dempster-Shafer model for the detection of buildings in aerial image and range data. The process of evidence assignment in the Dempster-Shafer method is implemented through membership functions in an adaptive network-based fuzzy inference system, where a back propagation learning rule is employed to tune the...
conference paper 2009
document
Verwer, S.E. (author)
This thesis contains a study in a subfield of artificial intelligence, learning theory, machine learning, and statistics, known as system (or language) identification. System identification is concerned with constructing (mathematical) models from observations. Such a model is an intuitive description of a complex system. One of the main nice...
doctoral thesis 2010
document
Van Ast, J.M. (author)
The very basis of this thesis is the collective behavior of ants in colonies. Ants are an excellent example of how rather simple behavior on a local level can lead to complex behavior on a global level that is beneficial for the individuals. The key in the self-organization of ants is communication through pheromones. When an ant forages for...
doctoral thesis 2010
document
Clements, M. (author)
On many websites users can personally contribute information, ranging from short text messages to photos and videos. Users can see the information contributed by others and respond to it. These social media actively engage their community in the structuring of the collection by making use of collaborative annotation methods. Next to an improved...
doctoral thesis 2010
document
Klijn, C.N. (author)
Cancer is a genetic disease. Step-wise alteration of genes that have a normal function in the cell can lead to the transformation of a healthy cell into a malignant cancer cell. Cancer genes provide several traits to the cell that allow it to become malignant. These traits have been researched for many years, and currently one knows quite well...
doctoral thesis 2011
document
Giger, E. (author), Pinzger, M. (author), Gall, H.C. (author)
Preprint of paper published in: 9th IEEE Working Conference on Mining Software Repositories (MSR), 2-3 June 2012; doi:10.1109/MSR.2012.6224284 There exist many approaches that help in pointing developers to the change-prone parts of a software system. Although beneficial, they mostly fall short in providing details of these changes. Fine-grained...
report 2012
document
Li, Y. (author)
Scale is an important parameter of images. Different objects or image structures (e.g. edges and corners) can appear at different scales and each is meaningful only over a limited range of scales. Multi-scale analysis has been widely used in image processing and computer vision, serving as the basis for many high-level image analysis systems....
doctoral thesis 2013
document
Rudinac, S. (author)
To facilitate finding of relevant information in ever-growing multimedia collections, a number of multimedia information retrieval solutions have been proposed over the past years. The essential element of any such solution is the relevance criterion deployed to select or rank the items from a multimedia collection to be presented to the user....
doctoral thesis 2013
document
Poddighe, R. (author), Roos, N. (author)
In this paper, two alternative methods to the Inverse Kinematics problem are compared to traditional methods regarding computation time, accuracy, and convergence rate. The test domain is the arm of the NAO humanoid robot. The results show that FABRIK, a heuristic iterative approximation algorithm outperforms the two traditional methods, which...
conference paper 2013
document
Kayastha, N. (author), Solomatine, D.P. (author), Lal Shrestha, D. (author)
In the MLUE method (reported in Shrestha et al. [1, 2]) we run a hydrological model M for multiple realizations of parameters vectors (Monte Carlo simulations), and use this data to build a machine learning model V to predict uncertainty (quantiles) of the model M output. In this paper, for model V, we employ three machine learning techniques,...
conference paper 2014
document
Laczny, C.C. (author), Sternal, T. (author), Plugaru, V. (author), Gawron, P. (author), Atashpendar, A. (author), Margossian, H.H. (author), Coronado, S. (author), Van der Maaten, L.J.M. (author), Vlassis, N. (author), Wilmes, P. (author)
Background: Metagenomics is limited in its ability to link distinct microbial populations to genetic potential due to a current lack of representative isolate genome sequences. Reference-independent approaches, which exploit for example inherent genomic signatures for the clustering of metagenomic fragments (binning), offer the prospect to...
journal article 2015
document
Van den Berg, B.A. (author)
The development of high-throughput measurement techniques resulted in rapidlyincreasing amounts of biological data, which made computational methodsessential for biological research. Hence, the field of bioinformatics emergedthat since plays an important role in storing, making accessible, integrating,and analysing different types of biological...
doctoral thesis 2015
document
Cheplygina, V. (author)
Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual feature vectors. For example, an image can be represented by a bag of instances, where each instance is a patch in that image. Only bag labels are given, however, the...
doctoral thesis 2015
document
Baarslag, T. (author), Hendrikx, M.J.C. (author), Hindriks, K.V. (author), Jonker, C.M. (author)
A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent’s preferences or strategy. This poses a challenge, as efficient and effective negotiation requires the bidding agent to take the other’s wishes and future behavior into account when deciding on a proposal. Therefore, in...
journal article 2015
document
Hammerschmidt, C.A. (author), Marchal, Samuel (author), State, Radu (author), Pellegrino, G. (author), Verwer, S.E. (author)
The task of network traffic monitoring has evolved drastically with the ever-increasing amount of data flowing in large scale networks. The automated analysis of this tremendous source of information often comes with using simpler models on aggregated data (e.g. IP flow records) due to time and space constraints. A step towards utilizing IP flow...
conference paper 2016
document
Sun, J. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
With the increasing availability of ADS-B transponders on commercial aircraft, as well as the rapidly growing deployment of ground stations that provide public access to their data, accessing open aircraft flight data is becoming easier for researchers. Given the large number of operational aircraft, significant amounts of flight data can be...
conference paper 2016
document
Delipetrev, B. (author)
Reservoir operation is a multi-objective optimization problem traditionally solved with dynamic programming (DP) and stochastic dynamic programming (SDP) algorithms. The thesis presents novel algorithms for optimal reservoir operation named nested DP (nDP), nested SDP (nSDP), nested reinforcement learning (nRL) and their multi-objective (MO)...
doctoral thesis 2016
Searched for: +
(1 - 20 of 101)

Pages