E-Dissertationen: Search
Now showing items 1-10 of 15
Ai-based, behavior dependent approaches for connectomic reconstruction of neuronal circuits
(2022-03-24)
Characterizing the functional architecture of neuronal circuits that underly complex behavior requires identifying active neuronal ensembles during behavioral expressions of interest. The recent development of light-induced, ...
Foresighted Human-Aware Robot Navigation Based on Predicted Object-Interactions
(2020-11-02)
Since the beginning of the digital revolution robots have become an increasingly important part of modern live. Until recently, this trend was primarily observable in industrial robots, however, with the success of the ...
Maschinelles Lernen durch Funktionsrekonstruktion mit verallgemeinerten dünnen Gittern
(2004)
Diese Arbeit beschäftigt sich mit einem neuen Ansatz für das Klassifikationsproblem beim Maschinellen Lernen durch Funktionsrekonstruktion. Es basiert auf dem Zugang des Regularisierungsnetzwerks, aber im Gegensatz zu ...
Development and Interpretation of Machine Learning Models for Drug Discovery
(2015-11-19)
In drug discovery, domain experts from different fields such as medicinal chemistry, biology, and computer science often collaborate to develop novel pharmaceutical agents. Computational models developed in this process ...
Automated Source Extraction for the Next Generation of Neutral Hydrogen Surveys
(2015-12-23)
This thesis is a first step to develop the necessary tools to automatically extract and parameterize sources from future HI surveys with ASKAP, WSRT/Apertif, and SKA.
The current approach to large-scale HI surveys, ...
The current approach to large-scale HI surveys, ...
Hyperspectral Imaging for Non-Invasive Characterization of Barley Resistances to Powdery Mildew
(2017-11-10)
Determination and characterization of resistance reactions of crop plants against fungal pathogens are essential to select resistant genotypes. In breeding practice phenotyping of genotypes is realized by time consuming ...
Entwicklung eines automatisierten Wolkendetektions- und Wolkenklassifizierungsverfahrens mit Hilfe von Support Vector Machines angewendet auf METEOSAT-SEVIRI-Daten für den Raum Deutschland
(2013-03-20)
Wolken stellen im Klimasystem der Erde einen zentralen Faktor dar, nicht nur in Bezug auf die Niederschlagsverteilung, sondern auch in Verbindung mit Effekten auf Strahlungsvorgänge innerhalb der Atmosphäre. Eine genaue ...
Error analysis of regularized and unregularized least-squares regression on discretized function spaces
(2017-01-04)
In this thesis, we analyze a variant of the least-squares regression method which operates on subsets of finite-dimensional vector spaces.
In the first part, we focus on a regression problem which is constrained to ...
In the first part, we focus on a regression problem which is constrained to ...
Black-Box Parallelization for Machine Learning
(2019-10-30)
The landscape of machine learning applications is changing rapidly: large centralized datasets are replaced by high volume, high velocity data streams generated by a vast number of geographically distributed, loosely ...
Robot Navigation in Human Environments
(2019-01-16)
For the near future, we envision service robots that will help us with everyday chores in home, office, and urban environments. These robots need to work in environments that were designed for humans and they have to ...