Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2007

Rath Andreas S., Kröll Mark, Lindstaedt Stefanie , Granitzer Michael

Low-Level Event Relationship Discovery for Knowledge Work Support

Proccedings of the 4th Conference on Professional Knowledge Management WM2007, ProKW2007, 28. - 30. März 2007, Potsdam, Germany, Gronau, N., GITO-Verlag, Berlin, 2007

Konferenz
2007

Burgsteiner H., Kröll Mark, Leopold A., Steinbauer G.

Movement Prediction From Real-World Images Using A Liquid State Machine

Journal of Applied Intelligence, Springer, 2007

Journal
The prediction of time series is an important task in finance, economy, object tracking, state estimation and robotics. Prediction is in general either based on a well-known mathematical description of the system behind the time series or learned from previously collected time series. In this work we introduce a novel approach to learn predictions of real world time series like object trajectories in robotics. In a sequence of experiments we evaluate whether a liquid state machine in combination with a supervised learning algorithm can be used to predict ball trajectories with input data coming from a video camera mounted on a robot participating in the RoboCup. The pre-processed video data is fed into a recurrent spiking neural network. Connections to some output neurons are trained by linear regression to predict the position of a ball in various time steps ahead. The main advantages of this approach are that due to the nonlinear projection of the input data to a high-dimensional space simple learning algorithms can be used, that the liquid state machine provides temporal memory capabilities and that this kind of computation appears biologically more plausible than conventional methods for prediction. Our results support the idea that learning with a liquid state machine is a generic powerful tool for prediction.
2007

Kröll Mark, Rath Andreas S., Weber Nicolas, Lindstaedt Stefanie , Granitzer Michael

Task Instance Classification via Graph Kernels

Mining and Learning with Graphs (MLG 07), Florenz, Italy, August 1-3, 2007, 2007

Journal
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