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        <Language>en</Language>
        <Type>Book</Type>
        <Title>cool XML</Title>
        <Author>Who Ever</Author>
        <Acquired>2004-12-30</Acquired>
        <Rating>5</Rating>
        <Comment>Greatest Ever</Comment>
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<Library>
<Notification>
<b>If you can read this either your viewer is not able to display styles for xml files or the stylesheet is missing.</b><br/>
<b>In the latter case download http://www-lehre.inf.uos.de/~jknabe/papers/publications.php?stylesheet.xsl and save it in the same place as the xml data file.</b><br/>
</Notification>
 <Text>
  <Language>en</Language>
  <Type>Article</Type>
  <Title>Filtering Spam E-Mail with Support Vector Machines</Title>
  <Author>Christian Kaul and Johannes Knabe and Tobias Lang and Volker Sperschneider</Author>
  <Topic>Science / Neural Nets / Support Vector Machines</Topic>
  <Rating></Rating>
  <Comment>Report on a very successful course project which was presented on computer fair CeBit 2004.
Source code available at: http://sourceforge.net/projects/spamstop/</Comment>
  <Acquired>2004-08</Acquired>
  <BibTex>@Article{KKLSsvmSpamFilter,
author = {Christian Kaul and Johannes Knabe and Tobias Lang and Volker Sperschneider},
title = {Filtering Spam E-Mail with Support Vector Machines},
journal = {PICS - Publications of the Institute of Cognitive Science, UniversitÃ¤t OsnabrÃ¼ck},
year = {2004},
month = {July},
volume = {Volume 8-2004},
EE = {http://www.cogsci.uni-osnabrueck.de/~PICS/PICSvol8_2004_KaulEtAl.pdf}
}</BibTex>
 </Text>
 <Text>
  <Language>de</Language>
  <Type>Unpublished</Type>
  <Title>Kooperatives Reinforcement Lernen in Multiagentensystemen</Title>
  <Author>Knabe, Johannes</Author>
  <Topic>Science / Reinforcement Learning / Cooperative</Topic>
  <Rating></Rating>
  <Comment>The dissertation I wrote to receive my BSc degree. Results worked quite nice at RoboCup German Open 2005, where our Brainstormers placed first.
In German with an English abstract only.</Comment>
  <Acquired>2005-03</Acquired>
  <BibTex>@Unpublished{,
author = {Johannes Knabe},
title = {Kooperatives Reinforcement Lernen in Multiagentensystemen},
note = {Bachelor's Thesis, University of Osnabrueck},
month = {March},
year = {2005},
EE = {http://www-lehre.inf.uos.de/~jknabe/papers/CooperativeRLinMAS.pdf}
}</BibTex>
 </Text>
 <Text>
  <Language>en</Language>
  <Type>inProceedings</Type>
  <Title>Brainstormers 2D - Team Description 2005</Title>
  <Author>Martin Riedmiller and Thomas Gabel and Johannes Knabe and Hauke Strasdat</Author>
  <Topic>Science / Reinforcement Learning / Robotic Soccer</Topic>
  <Rating></Rating>
  <Comment>Submitted to the RoboCup committee and to appear in the RoboCup World Championship 2005 proceedings</Comment>
  <Acquired>2005-02</Acquired>
  <BibTex>@inProceedings{,
author = {Martin Riedmiller and Thomas Gabel and Johannes Knabe and Hauke Strasdat},
title = {Brainstormers 2D - Team Description 2005},
institution = {Universität Osnabrück},
year = {2005},
month= {February},
EE = {http://www-lehre.inf.uos.de/~jknabe/papers/BSTeam05.pdf}
}</BibTex>
 </Text>
 <Text>
  <Language>en</Language>
  <Type>inProceedings</Type>
  <Title>Synchronization of Internal Neural Rhythms in Multi-Robotic Systems</Title>
  <Author>Steffen Wischmann and Martin H&#195;&#188;lse and Johannes Knabe and Frank Pasemann</Author>
  <Topic>Science / Dynamic Systems / Neural Synchronization</Topic>
  <Rating></Rating>
  <Comment>Includes part of the work I did while doing a placement at the Intelligent Dynamics group of the Fraunhofer Institute.
http://www.informatics.sussex.ac.uk/activate.d/workshop@ecal2005/programme.html</Comment>
  <Acquired>2005-06</Acquired>
  <BibTex>@inProceedings{ecal05Synchronization
  author    = {Steffen Wischmann and Martin H&#195;&#188;lse and Johannes Knabe and Frank Pasemann},
  title     = {Synchronization of Internal Neural Rhythms in Multi-Robotic Systems},
  booktitle = {ECAL},
  year      = {2005},
  url       = {http://www.informatics.sussex.ac.uk/activate.d/workshop@ecal2005/wis.html},
 abstract ={This paper shows how to coordinate individual action within a group of robots that have to accomplish a common task, gathering energy within a dynamic environment and transferring this energy to a nest. Each individual s behavioral pattern is driven by an internal neural rhythm generator exhibiting quasi-periodic oscillations. The paper describes the implementation of this generator, its influence on the dynamics of artificial recurrent neural networks controlling the robots, and the synchronization of internal rhythms with differing frequencies in a group of up to 150 robots. Synchronization is achieved either by environmental stimuli or even by self-organizing processes based on solely local interactions within a robot population.}
}</BibTex>
 </Text>
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