The Faculty of Mathematics and Natural Sciences: Search
Now showing items 1-6 of 6
Spectral Properties of the Kernel Matrix and their Relation to Kernel Methods in Machine Learning
(2005)
Machine learning is an area of research concerned with the construction of algorithms which are able to learn from examples. Among such algorithms, so-called kernel methods form an important family of algorithms which have ...
Shape and Topology Constrained Image Segmentation with Stochastic Models
(2005)
The central theme of this thesis has been to develop robust algorithms for the task of image segmentation.
All segmentation techniques that have been proposed in this thesis are based on the sound modeling of the ...
All segmentation techniques that have been proposed in this thesis are based on the sound modeling of the ...
Similarities and Representations of Graph Structures
(2021-06-01)
Graphs are a natural representation for diverse systems ranging from social networks to the Web and brain structure. Even when data is not interconnected explicitly, it is often convenient to convert it into a graph for ...
Predicting Rules for Cancer Subtype Classification using Grammar-Based Genetic Programming on various Genomic Data Types
(2018-03-12)
With the advent of high-throughput methods more genomic data then ever has been generated during the past decade. As these technologies remain cost intensive and not worthwhile for every research group, databases, such as ...
Dissecting patient heterogeneity via statistical modeling based on multi-modal omics data
(2019-06-27)
One of the key goals of modern medicine is to treat patients individually, recognizing the heterogeneity that exists within them and thus hoping to provide them with more effective personalized therapies. '-Omics' patient ...
Deep Generative Modelling in Systems Medicine: From Transcriptomics Data to Drug Development
(2024-02-02)
(noch nicht zugänglich / not yet accessible)