2004-2008: Ph.D. in
Christian Igel's
group at the Institut für Neuroinformatik in Bochum.
I received my Ph.D. in 2008 from the Faculty of Mathematics,
Ruhr-Universität Bochum, Germany.
since 2012: Junior professor for theory of machine learning
at the Institut für Neuroinformatik, Ruhr-Universität
Bochum, Germany. I am the head of the optimization of adaptive
systems group.
Homepage of Tobias Glasmachers - Teaching
Lectures and Seminars
In the summer term 2012 I offer the lecture
"Machine Learning - Supervised Methods".
The lecture is intended for Master students of the Angewandte
Informatik program.
time: Monday, 12:15-14:00
room: NB 3/57
The field of machine learning constitutes a modern approach to
artificial intelligence. It is situated in between neuroscience,
statistics, robotics, and areas of application ranging all over
science and engineering, medicine, economics, and many more. Machine
learning algorithms automate the process of learning, thus allowing
prediction and decision making machines to improve with experience.
This lecture will cover different state-of-the-art methods in the
domain of "supervised learning". Topics include classical
statistical methods, neural networks, support vector machines, and
nearest neighbor models. The lecture covers algorithmic as well as
learning theoretical aspects.
The 2 hours/week lecture is accompanied by a 2 hours/week practical
course. It will be held either in German or in English, depending on
the audience. Most of the course material will be in English.
Projects and Theses
I am always offering semester projects as well as Bachelor and
Master theses within the Angewandte Informatik program. Please
contact me for details.
Homepage of Tobias Glasmachers - Research
One line of my research deals with supervised learning with support
vector machines (SVMs). On the one hand I am interested in the SVM
training problem, which basically amounts to large scale quadratic
programming.
On the other hand I am trying to simplify SVM usage for non-experts
by developing robust methods for automatic model selection. My
research activities include both theoretical and practical aspects
ranging from SVM optimization to experimental comparison studies and
software development.
Recently I shifted the focus of my research to evolutionary algorithms,
in particular evolution strategies for controller design and real-valued
black box optimization. This activity offers fascinating theoretical
challenges, and at the same time highly efficient practical algorithms
with endless applications.
Homepage of Tobias Glasmachers - Software
I am an active developer of the
Shark Machine Learning Library.
Shark is an open-source, modular, and fast C++ library.
A large share of my research code is either part of the
library or based thereon. Check it out!
Shark is currently undergoing a major transition;
actually it is more fair to speak of a complete rewrite.
By now (start of 2012) the work is mostly done, and we
already have an alpha release of the brand new Shark 3.
A few more design changes are underway that will make
the library even faster.
