On the role of temporal context in human reinforcement learning

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011

Partially supervised learning of fuzzy classification rules

Fuzzy classification, semi-supervised learning, data mining

Search improvements in multirelational learning

Machine learning, inductive logic programming, search

contribution of horizontal. intracortical connections to learning-induced gamma oscillations

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011

role of the anterior cingulate cortex in extinction learning of avoidance behavior and in the retrieval of its extinction memory

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012

Neural dynamics and their relationship to learning behavior in response tot stimulation with a cortical neuroprosthesis

Sensory cortex, neuroprosthetics, brain-machine-interfaces, neurodynamics, learning, perception, embodied cognition

Representations of lattice point sets : theory, algorithms, applications

Magdeburg, Univ., Fak. für Mathematik, Habil.-Schr., 2006

Möglichkeiten und Grenzen des Distance Learning am Beispiel des Alberta Distance Learning Centre in Kanada : Analyse und Transfer auf den Schulkontext Sachsen-Anhalts

Distance learning, Canadian educational system, institution, medial learning, school system Saxony-Anhalt, system theory, qualitative research

Proactive ontology-based content provision in the context of e-learning

Magdeburg, Univ., Fak. für Informatik, Diss., 2008

Document-oriented e-learning components

Magdeburg, Univ., Fak. für Informatik, Diss., 2009

Robust learning in safety-related domains : machine learning methods for solving safety-related application problems

Magdeburg, Univ., Fak. für Informatik, Diss., 2009

Ontology learning from semi-structured Web documents

Magdeburg, Univ., Fak. für Informatik, Diss., 2010

Machine learning with Lipschitz classifiers

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

AvBandTest – a Testing Tool for Implementations of Available Band width Estimation Algorithms

This work describes a test tool that allows to make performance tests of different end-to-end available bandwidth estimation algorithms along with their different implementations. The goal of such tests is to find the best-performing algorithm and its implementation and use it in congestion control mechanism for high-performance reliable transport protocols. The main idea of this paper is to describe the options which provide available bandwidth estimation mechanism for highspeed data transport protocols and to develop basic functionality of such test tool with which it will be possible to manage entities of test application on all involved testing hosts, aided by some middleware.

Implicit sequence learning in recurrent neural networks

Magdeburg, Univ., Fak. für Elektrotechnik, Diss., 2013