@electronic{videolectures.net,
   title       = {VideoLectures - exchange ideas & share knowledge}, 
   url         = {http://videolectures.net/},
   biburl      = {https://puma.uni-kassel.de/url/36ec82ee148c089ef2b2d91b04882fb6/hotho},
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@electronic{archive.ics.uci.edu,
   title       = {UCI Machine Learning Repository: Data Sets}, 
   url         = {http://archive.ics.uci.edu/ml/datasets.html},
   biburl      = {https://puma.uni-kassel.de/url/6645d2bc3ed4e43027be38a718f57786/stephandoerfel},
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@electronic{www.ics.uci.edu,
   title       = {UCI Machine Learning Repository}, 
   url         = {http://www.ics.uci.edu/~mlearn/MLRepository.html},
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@electronic{www.idiap.ch,
   title       = {Statistical Machine Learning from Data - References -}, 
   url         = {http://www.idiap.ch/~bengio/lectures/ref.html},
   biburl      = {https://puma.uni-kassel.de/url/1c66e8786f4161d7feebb23884a1f8eb/hotho},
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@electronic{www.springerlink.com,
   title       = {SpringerLink - Journal}, 
   url         = {http://www.springerlink.com/content/100309/},
   biburl      = {https://puma.uni-kassel.de/url/3d5afe21f7240957b3678e53f15125b2/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{hunch.net,
   title       = {Research Directions for Machine Learning and Algorithms « Machine Learning (Theory)}, 
   url         = {http://hunch.net/?p=1822},
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@electronic{nips.djvuzone.org,
   title       = {NIPS Online}, 
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   biburl      = {https://puma.uni-kassel.de/url/9bef3866afa4a61bff51b474a62de951/hotho},
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@electronic{www.nabble.com,
   title       = {Nabble - Machine Learning forum, newsgroup, message board}, 
   url         = {http://www.nabble.com/Machine-Learning-f437.html},
   biburl      = {https://puma.uni-kassel.de/url/cd922cb7e3b501065618dc13539afc50/hotho},
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@electronic{mloss.org,
   title       = {mloss | All entries}, 
   url         = {http://mloss.org/software/},
   biburl      = {https://puma.uni-kassel.de/url/fa021188192976424e50ef3bc40b73ba/hotho},
   keywords    = {learning machine ml open software source},
   added-at    = {2014-11-21T16:02:43.000+0100},
   description = {Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.},
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@electronic{mloss.org,
   title       = {mloss | About}, 
   url         = {http://mloss.org/about/},
   biburl      = {https://puma.uni-kassel.de/url/ea38bc77a9771d320a828a03f7d91680/hotho},
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@electronic{www.machinelearning.org,
   title       = {machinelearning.org - Home}, 
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@electronic{www-kd.iai.uni-bonn.de,
   title       = {Knowledge Discovery and Machine Learning Bonn (www.kdml-bonn.de)}, 
   url         = {http://www-kd.iai.uni-bonn.de/index.php?page=software},
   biburl      = {https://puma.uni-kassel.de/url/a106e8a738bbf2bb3bc0640f37b473a6/hotho},
   keywords    = {learning machine ml software},
   added-at    = {2010-10-06T13:03:15.000+0200},
   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{www.kernel-machines.org,
   title       = {Kernel Machines}, 
   url         = {http://www.kernel-machines.org/},
   biburl      = {https://puma.uni-kassel.de/url/acd1c35d860b7823ae45565a33645ab3/hotho},
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@electronic{www.jmlg.org,
   title       = {Journal of Machine Learning Gossip}, 
   url         = {http://www.jmlg.org/},
   biburl      = {https://puma.uni-kassel.de/url/ad130b124f3707b8f3708b7a5e72bfd0/hotho},
   keywords    = {gossip learning journal fun machine ml},
   added-at    = {2006-03-27T12:16:17.000+0200},
   description = {The mission of  the Journal of Machine Learning Gossip (JMLG) is to provide an archival source of important information that is often discussed informally at conferences but is rarely, if ever, written down.},
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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/},
   biburl      = {https://puma.uni-kassel.de/url/7a25862fc63eb4eb3260f4b6cfe506ca/hotho},
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@electronic{www.cs.toronto.edu,
   title       = {Delve Datasets}, 
   url         = {http://www.cs.toronto.edu/~delve/data/datasets.html},
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@electronic{www.cs.umass.edu,
   title       = {Aron Culotta > Research}, 
   url         = {http://www.cs.umass.edu/~culotta/research.htm},
   biburl      = {https://puma.uni-kassel.de/url/e351d533c9e1efd68b0ea44f22274ca2/hotho},
   keywords    = {learning machine ml},
   added-at    = {2006-04-04T22:20:57.000+0200},
   description = {I'm interested in machine learning techniques (graphical models, kernel methods) applied to text understanding (entity and relation extraction, coreference resolution, document classification and clustering, confidence prediction, social network analysis, data mining).},
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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{lamda.nju.edu.cn,
   title       = {ACML 2009 - The 1st Asian Conference on Machine Learning}, 
   url         = {http://lamda.nju.edu.cn/conf/acml09/},
   biburl      = {https://puma.uni-kassel.de/url/337e7d1869a4660a8d1cba570e8914e2/hotho},
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