@electronic{www.cl.cam.ac.uk,
   title       = {Simone Teufel's Thesis work: Argumentative Zoning}, 
   url         = {http://www.cl.cam.ac.uk/~sht25/az.html},
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@electronic{mloss.org,
   title       = {mloss | All entries}, 
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   keywords    = {learning machine ml open software source},
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@electronic{googleresearch.blogspot.de,
   title       = {Learning from Big Data: 40 Million Entities in Context}, 
   url         = {http://googleresearch.blogspot.de/2013/03/learning-from-big-data-40-million.html},
   biburl      = {https://puma.uni-kassel.de/url/14073030361b1ef9cfcc6881845c9a28/hotho},
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@electronic{www.cp.jku.at,
   title       = {LUC 2012: International Workshop on Learning from User-generated Content}, 
   url         = {http://www.cp.jku.at/conferences/luc2012/},
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@electronic{mahout.apache.org,
   title       = {Apache Mahout: Scalable machine learning and data mining}, 
   url         = {http://mahout.apache.org/},
   biburl      = {https://puma.uni-kassel.de/url/3f4d9455218e5d5b41d8f3000f86ed85/hotho},
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   description = {Mahout currently has      Collaborative Filtering     User and Item based recommenders     K-Means, Fuzzy K-Means clustering     Mean Shift clustering     Dirichlet process clustering     Latent Dirichlet Allocation     Singular value decomposition     Parallel Frequent Pattern mining     Complementary Naive Bayes classifier     Random forest decision tree based classifier     High performance java collections (previously colt collections)     A vibrant community     and many more cool stuff to come by this summer thanks to Google summer of code},
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@electronic{tunedit.org,
   title       = {TunedIT - Data mining & machine learning data sets, algorithms, challenges}, 
   url         = {http://tunedit.org/},
   biburl      = {https://puma.uni-kassel.de/url/94fa145e5cfdfa41c41ca7d954f43d23/hotho},
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@electronic{hunch.net,
   title       = {Research Directions for Machine Learning and Algorithms « Machine Learning (Theory)}, 
   url         = {http://hunch.net/?p=1822},
   biburl      = {https://puma.uni-kassel.de/url/89aef1b4078f302932bd71b5544684d8/hotho},
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@electronic{www.icml-2011.org,
   title       = {ICML 2011, The 28th International Conference on Machine Learning - Bellevue, Washington}, 
   url         = {http://www.icml-2011.org/},
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@electronic{elib.uni-stuttgart.de,
   title       = {OPUS - Theoretical and Practical Perspectives on Ontology Learning from Folksonomies - Keller, Christine}, 
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@electronic{www-kd.iai.uni-bonn.de,
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   description = {The Knowledge Discovery Machine Learning (KDML) group focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and machine learning (ML). For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include algorithms and systems that are capable of learning from experience and adapting to their environment or their users.},
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@electronic{ontology.csse.uwa.edu.au,
   title       = {ontology}, 
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@electronic{research.microsoft.com,
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@electronic{learningtorankchallenge.yahoo.com,
   title       = {Yahoo! Learning to Rank Challenge -}, 
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@electronic{ontogenesis.knowledgeblog.org,
   title       = {Ontology Learning | Ontogenesis}, 
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@electronic{www.ecmlpkdd2008.org,
   title       = {HLIE Workshop | ECML PKDD 2008}, 
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@electronic{explorer.csse.uwa.edu.au,
   title       = {reference > browse paper}, 
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@electronic{olc.ijs.si,
   title       = {PASCAL Ontology Learning Challenge}, 
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@electronic{ccsl.mae.cornell.edu,
   title       = {Eureqa | Cornell Computational Synthesis Laboratory}, 
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@electronic{lamda.nju.edu.cn,
   title       = {ACML 2009 - The 1st Asian Conference on Machine Learning}, 
   url         = {http://lamda.nju.edu.cn/conf/acml09/},
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@electronic{pages.cs.wisc.edu,
   title       = {Active Learning Literature Survey}, 
   url         = {http://pages.cs.wisc.edu/~bsettles/active-learning},
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@electronic{orsp.rutgers.edu,
   title       = {Higher Order Learning}, 
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@electronic{dl-learner.org,
   title       = {AKSW : Projects / DL Learner}, 
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@electronic{heli.stanford.edu,
   title       = {Autonomous Helicopter: Stanford University AI Lab}, 
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@electronic{www.unix.org.ua,
   title       = {The Perl CD Bookshelf}, 
   url         = {http://www.unix.org.ua/orelly/perl/},
   biburl      = {https://puma.uni-kassel.de/url/830a637a75802eebea6be76e52a3b1c2/hotho},
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@electronic{www.kyb.tuebingen.mpg.de,
   title       = {Spider}, 
   url         = {http://www.kyb.tuebingen.mpg.de/bs/people/spider/},
   biburl      = {https://puma.uni-kassel.de/url/8e2466d593b779ef64e9ecaf859877f0/hotho},
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@electronic{www.kde.cs.uni-kassel.de,
   title       = {Publications of Andreas Hotho, KDE Group, University of Kassel}, 
   url         = {http://www.kde.cs.uni-kassel.de/hotho/publication.html},
   biburl      = {https://puma.uni-kassel.de/url/63d9c6a25f4b2d2ac8500e5e8be8426c/hotho},
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@electronic{olp.dfki.de,
   title       = {OLP3: 3rd Workshop on Ontology Learning and Population}, 
   url         = {http://olp.dfki.de/olp3/},
   biburl      = {https://puma.uni-kassel.de/url/2ce7ae9114d20b7dac03ce95d65a5ebe/hotho},
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@electronic{mloss.org,
   title       = {mloss | About}, 
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   biburl      = {https://puma.uni-kassel.de/url/ea38bc77a9771d320a828a03f7d91680/hotho},
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@electronic{research.microsoft.com,
   title       = {LETOR: Benchmark Datasets for Learning to Rank}, 
   url         = {http://research.microsoft.com/users/tyliu/LETOR/},
   biburl      = {https://puma.uni-kassel.de/url/69c5ffa9987277d3c2b6a87e8e643c73/hotho},
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@electronic{hunch.net,
   title       = {Vowpal Wabbit (Fast Online Learning)}, 
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   biburl      = {https://puma.uni-kassel.de/url/02f90c2903e5c429024091fbc6bec0a1/hotho},
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@electronic{relexo.ontoware.org,
   title       = {Relational Exploration and Ontology Learning}, 
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   biburl      = {https://puma.uni-kassel.de/url/2a265d51cd0e6b45f2a9671253d1ec04/hotho},
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@electronic{ekaw.vse.cz,
   title       = {Learning, Logic, and Probability: A Unified View.}, 
   url         = {http://ekaw.vse.cz/files/domingos.ppt},
   biburl      = {https://puma.uni-kassel.de/url/5035aede7a4933ca5a60ab7048b163c2/hotho},
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@electronic{alchemy.cs.washington.edu,
   title       = {Alchemy - Open Source AI}, 
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@electronic{kdl.cs.umass.edu,
   title       = {Proximity Software}, 
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@electronic{learningcenter.updatelog.com,
   title       = {[Learning Center] Login}, 
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   biburl      = {https://puma.uni-kassel.de/url/7d0702080e609c650937a949b4c4888e/hotho},
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@electronic{www.springerlink.com,
   title       = {SpringerLink - Journal}, 
   url         = {http://www.springerlink.com/content/100309/},
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@electronic{videolectures.net,
   title       = {VideoLectures - exchange ideas & share knowledge}, 
   url         = {http://videolectures.net/},
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@electronic{oregonstate.edu,
   title       = {2007 International Conference on Machine Learning}, 
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   title       = {WWW2007 Paper Details}, 
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   title       = {Kernel Machines}, 
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   title       = {Statistical Relation Learning}, 
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@electronic{www.acm.org,
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@electronic{www.machinelearning.org,
   title       = {machinelearning.org - Home}, 
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@electronic{www.informatik.uni-freiburg.de,
   title       = {Profile - Probabilistic First-Order Learning}, 
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@electronic{irgroup.cs.uni-magdeburg.de,
   title       = {First Workshop on Learning Semantics of Audio Signals (LSAS) 2006 - Welcome to LSAS 2006}, 
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@electronic{ontogen.ijs.si,
   title       = {OntoGen -- Blaz Fortuna}, 
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@electronic{www.ics.uci.edu,
   title       = {UCI Machine Learning Repository}, 
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@electronic{www.cs.toronto.edu,
   title       = {Delve Datasets}, 
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