PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Michael Pfeiffer

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Number of EPrints submitted by this user: 21

Reinforcement Learning of Strategies for Settlers of Catan
Michael Pfeiffer
In: International Conference on Computer Games: Artificial Intelligence, Design and Education 2004, 08-10 Nov 2004, Reading, UK.

Predicting Text Relevance from Sequential Reading Behavior
Michael Pfeiffer, Amir R. Saffari A. A. and Andreas Juffinger
In: NIPS 2005 Workshop on Machine Learning for Implicit Feedback and User Modeling, 10 Dec 2005, Whistler, Canada.

Efficient continuous-time reinforcement learning with adaptive state graphs
Gerhard Neumann, Michael Pfeiffer and Wolfgang Maass
In: ECML/PKDD 2007, 17 Sep - 21 Sep 2007, Warsaw, Poland.

Hebbian learning of Bayes optimal decisions
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass
In: NIPS 2008, 8 Dec - 11 Dec 2008, Vancouver, Canada.

A Hebbian Learning Rule for Optimal Decision Making
Michael Pfeiffer, Bernhard Nessler and Wolfgang Maass
In: Machine Learning Meets Human Learning Workshop, 12 Dec 2008, Whistler, Canada.

Reward-modulated Hebbian Learning of Decision Making
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass
Neural Computation 2010.

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Büsing and Robert Legenstein
In: NIPS 2008, 8 Dec - 11 Dec 2008, Vancouver, Canada.

Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann and Jan Peters
In: NIPS 2008, 8 Dec - 11 Dec 2008, Vancouver, Canada.

A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback
Robert Legenstein, Dejan Pecevski and Wolfgang Maass
PLoS Computational Biology Volume 4, Number 10, 2008.

Improved neighborhood-based algorithms for large-scale recommender systems.
Andreas Töscher, Michael Jahrer and Robert Legenstein
In: Workshop on Large Scale Recommenders Systems and the Netflix Prize, KDD 08, 25 Aug 2008, Las Vegas, USA.

Learning Complex Motions by Sequencing Simpler Motion Templates
Gerhard Neumann and Jan Peters
In: ICML 2009, 14-18 Jun 2009, Montreal, Canada.

A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass
Journal of Neuroscience 2009.

Distributed fading memory for stimulus properties in the primary visual cortex
Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass
PLoS Biology Volume 7, Number 12, pp. 1-19, 2009.

Concepts and methods from machine learning as tools for the analysis of computations in nervous systems
Michael Pfeiffer
(2010) PhD thesis, Graz University of Technology.

Combining Predictions for an accurate Recommender System
Michael Jahrer, Andreas Töscher and Robert Legenstein
In: KDD 2010, Washington DC, USA(2010).

A spiking neuron as information bottleneck
Lars Büsing and Wolfgang Maass
Neural Computation 2009.

Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass
In: NIPS 2009, 7-10 Dec 2009, Vancouver, Canada.

Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
Stefan Klampfl and Wolfgang Maass
In: NIPS 2009, 7-10 Dec 2009, Vancouver, Canada.

STDP enables spiking neurons to detect hidden causes of their inputs
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass
In: NIPS 2009, 7-10 Dec 2009, Vancouver, Canada.

STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass
In: NIPS 2009 Workshop: Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain, 12 Dec 2009, Whistler, Canada.

A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction
Stefan Klampfl and Wolfgang Maass
Neural Computation 2009.